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<h1>Sr. Data Engineer</h1> <a href="https://careers-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. <h3>Working at Atlassian</h3> This section is standardized across all Atlassian roles. Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. <h3>Your future team</h3> You will be part of a world-class Data Engineering team, where you will: <ul> <li>influence product teams</li> <li>inform Data Science and Analytics Platform teams</li> <li>partner closely with data consumers and producers to ensure quality and usefulness of data assets</li> </ul> You will be involved in strategizing measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy. <h3>In this role, you will:</h3> Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including: <ul> <li>Defining metrics</li> <li>Instrumenting logging</li> <li>Acquiring/ingesting data</li> <li>Architecting &amp; modeling data</li> <li>Transforming data</li> <li>Ensuring data quality, governance, and enablement</li> <li>Alerting, visualization, and reporting</li> <li>Working autonomously and adding perspective to the team</li> <li>Developing at scale and improving efficiency</li> <li>Embodying the goals of the business and team</li> <li>Leading projects</li> </ul> <h3>Minimum Qualifications / Your background:</h3> <ul> <li>Bachelor’s / Masters degree (or equivalent work experience) in a STEM field.</li> <li>6+ Years of Experience in Data Engineering or related fields.</li> <li>Expertise in Python or other modern programming language development experience.</li> <li>Knowledge of advanced level capabilities in SQL and relational databases experience.</li> <li>Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding.</li> <li>Experience with data processing performance tuning and optimization.</li> <li>Understanding of the role of experimentation in product development.</li> <li>Familiarity with Anomaly detection solutions.</li> <li>Experience with logging specifications and processing.</li> <li>Experience working with product analytics.</li> <li>Experience with SaaS/Enterprise business models.</li> <li>Experience executing projects or programs which have had proven impact on business strategy and performance.</li> </ul> <h3>Additional / Desirable Qualifications:</h3> <ul> <li>7+ Years of Experience in Data Engineering or related fields OR 5+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field</li> <li>An understanding of the SaaS business model and data structures</li> <li>Experience in Enterprise Software product development</li> </ul> <h3>Compensation</h3> At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. #LI-Remote <h3>Our perks &amp; benefits</h3> This section is standardized across all Atlassian roles. Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. <h3>About Atlassian</h3> This section is standardized across all Atlassian roles. At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-apac-atlassian.icims.com/jobs/16277/sr.-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Sr. Data Engineer

<h1>Principle Data Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16229/principle-data-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Our Data Engineering Team is comprised of data experts. We build world-class data solutions and applications that power crucial business decisions throughout the organisation. We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on. We maintain Atlassian's data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them. We're hiring a Data Engineer, reporting to the Data Engineering Manager. Here, you'll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian's data-driven culture. You love thinking about the ways the business can consume data and then figuring out how to build it. Minimum Qualifications / Your background: <ul> <li>BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role</li> <li>10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.</li> <li>Proficiency in Python, SQL, DBT, and data platforms like DataBricks</li> <li>Proficiency in relational databases and query authoring (SQL).</li> <li>Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.</li> <li>Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization</li> <li>Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.</li> <li>Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).</li> <li>Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.</li> <li>Well versed in modern software development practices (Agile, TDD, CICD)</li> </ul> Desirable Qualifications <ul> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Familiarity working with Core engineering datasets like Monitoring, Observability, Performance, Reliability, etc..</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $203,300 - $271,100 Zone B: $183,000 - $244,000 Zone C: $168,700 - $225,000 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16229/principle-data-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Principle Data Engineer

<h1>Principal Business Intelligence Engineer</h1> <a href="https://careers-americas.icims.com/jobs/16839/principal-business-intelligence-engineer/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. We’re looking for a Principal Business Intelligence Engineer to join a high-performing team passionate about solving business problems with advanced analytics. You will translate raw data into valuable business insights, guide initiatives to measure the health of Cloud Migrations, build dashboards and support key performance indicators. The ideal candidate has a background in data engineering, proficiency in SQL, proven data visualization skills, and experience engaging with executive audiences. The candidate will be comfortable with ambiguity in a fast-paced environment, displaying big-picturing thinking while paying careful attention to detail. <ul> <li>Partner with senior leaders to translate business needs into technical requirements, data products and actionable insights.</li> <li>Design, develop, and optimize key business metrics, reports, analyses and dashboards to drive business decisions</li> <li>Use data visualization, statistics, and storytelling to effectively answer open-ended business questions</li> <li>Manage data pipelines, reports, and dashboards</li> <li>Work with data engineers on our scalable data infrastructure for analytics</li> <li>Present data results, analyses and recommendations to senior leaders</li> <li>Document and provide training for business users on BI tools and data workflows</li> <li>Continually improve the dashboard experience, automating or simplifying self-service support for end-users</li> </ul> <ul> <li>Bachelors/Masters in Computer Science, Information Systems, Business/Data Analytics or a related field</li> <li>Minimum 4 years of experience creating dashboards and interactive reports in BI tools (Tableau, Streamlit, Databricks, etc)</li> <li>Minimum 2 years of SQL experience with a solid understanding of CTEs, Sub-queries, and window functions</li> <li>Minimum 4 years experience in an analytics field with data engineering exposure</li> <li>Working knowledge of Databricks to write production-level queries and publish visualizations</li> <li>Experience presenting data insights and recommendations to senior leaders and executives</li> <li>Experience with Git-based tools like BitBucket</li> <li>Experience defining technical requirements and using data and metrics to draw actionable insights</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $149,000 - $198,700 Zone B: $134,100 - $178,800 Zone C: $123,700 - $164,900 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16839/principal-business-intelligence-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Principal Business Intelligence Engineer

<h1>Senior Principal Machine Learning Engineer, Central AI</h1> <a href="https://careers-americas.icims.com/jobs/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Senior Principal Machine Learning Engineer to join our Central AI organization. The Central AI organization develops the foundational infrastructure, data pipelines, frameworks, models, Gen AI and other capabilities to expedite AI feature development throughout the entire company. <h2>Your future team</h2> Central AI’s mission is to expedite AI innovation across all Atlassian products and platforms, ensuring a unified AI user experience and establishing a robust AI infrastructure for Atlassian's future. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various products. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery, conversation, and agents. <h2>What you’ll do</h2> As a Senior Principal Machine Learning Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms and system architecture. You will be tasked with training complex models and working in close collaboration with product, backend/front end engineering, and analytics teams to seamlessly integrate AI functionalities into every Atlassian product and service. Your day-to-day responsibilities will span a wide range of tasks, including designing system and model architectures, conducting meticulous experimentation and model evaluations, and mentoring budding ML engineers. Your role extends beyond these tasks, playing a crucial part in harnessing the transformative power of AI across our product suite. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Master’s degree or equivalent practical experience</li> <li>10+ years of related industry experience in AI/machine learning domain</li> <li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li> <li>Experience building and scaling machine learning models in business applications using large amounts of data</li> <li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li> <li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li> <li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li> </ul> <h3>It's great, but not required, if you have</h3> <ul> <li>Master’s degree or PhD in Engineering, Computer Science, or a related technical field</li> <li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Experience in developing deep learning-based models and working on LLM-related applications</li> <li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions </li> </ul> <h2>Our perks &amp; benefits</h2> Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. <h2>About Atlassian</h2> At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a> <a href="https://careers-americas.icims.com/jobs/15733/senior-principal-machine-learning-engineer%2c-central-ai/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Machine Learning Engineer, Central AI

<h1>Senior Principal Data Scientist</h1> Analytics &amp; Data Science | San Francisco, United States | Remote, Remote | <a href="https://careers-americas.icims.com/jobs/15763/senior-principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Your future team You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers, Engineers, Designers, Researchers, Data Engineers, Markets and the Executive team across Atlassian to drive and influence outcomes. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our AI products, identify gaps and opportunities, and measure the success of our product investments. In this role, you will: <ul> <li>Identify key business challenges and develop strategic initiatives for your cross-functional business partners, be a trusted strategic partner, and build credibility.</li> <li>Influence Atlassian Intelligence product strategy and roadmaps, and drive impactful change through the structure and clarity of your analysis and recommendations.</li> <li>Lead and prioritize multiple workstreams and/or large complex data science programs. In collaboration with your data science team and your business partners, you will be making informed decisions about priorities, timing, and resourcing.</li> <li>Drive best practice techniques for communicating complex, unfamiliar, challenging, and/or difficult information, including the development and use of frameworks and conceptual models.</li> <li>Lead the evolution of data assets in your team. Coordinate with and influence other data science and engineering teams working on Atlassian Intelligence to ensure alignment of metrics, measurement, and analysis methodologies.</li> <li>Leverage broader industry knowledge to establish frameworks to measure customer engagement with and quality of Atlassian intelligence features.</li> <li>Actively share your work and knowledge to benefit work done across data science.</li> <li>Proactively enable your data science team to address business needs and navigate change and ambiguity.</li> <li>Use your experience and expertise to identify, solve, and bridge gaps/problems across data science and drive programs of work impacting organizational processes that scale Atlassian.</li> </ul> Minimum Qualifications / Your background: <ul> <li>Proven track record of driving projects or programs that have had a significant impact on business strategy and performance.</li> <li>Excels at advising, presenting to and serving as a thought partner to senior executives</li> <li>10+ years of experience in Data Science or related fields.</li> <li>Expertise in SQL and another data manipulation programming language (e.g., Python, R).</li> <li>Proficiency in at least one visualization tool (e.g., Tableau, R-Shiny, Looker).</li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand.</li> <li>Experience leading and mentoring teams, with a focus on achieving strategic objectives.</li> </ul> Desirable Qualifications <ul> <li>12+ Years of Experience in Data Science or related fields</li> <li>Understanding of the SaaS business model and key metrics.</li> <li>Experience in developing insights for Chat, Search, or LLM-based products.</li> <li>Championing the adoption of industry standards in a functional area of Data Science.</li> </ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $231,600 - $308,800 Zone B: $208,400 - $277,900 Zone C: $192,200 - $256,300 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/15763/senior-principal-data-scientist/job?mode=apply" target="_blank">Apply for this job</a>

Senior Principal Data Scientist

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Team: The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer defects, driving efficiency through automation, and optimizing support operations. We are seeking an experienced Data Analyst to lead insights into our quality assurance and knowledge management functions. As a Data Analyst on our team, you will own and drive projects that create meaningful business impact. You’ll have the opportunity to transform data into measurable actions that improve customer experiences and help shape our long-term strategy to deliver maximum impact to our customers. What you’ll be doing: <ul> <li>Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights</li> <li>Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business</li> <li>Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers</li> <li>Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale</li> <li>Understand data resources and know when, how, and which best to use for each project</li> <li>Ability to frame and break down complex business problems into key components and recommend practical solutions</li> <li>Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data</li> <li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs</li> <li>Maintain a high bar for statistical rigor on your team; ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders</li> </ul> What we look for in you: <ul> <li>4+ years of relevant data analytics experience in an operational environment, with a strong focus on quality measures</li> <li>Experience transforming unstructured data into actionable insights, outlier based agent performance management, and web analytics </li> <li>Professional experience using advanced SQL and data modeling skills to process large, complex datasets</li> <li>Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)</li> <li>Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership</li> <li>Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams</li> <li>Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs</li> </ul> Nice to haves: <ul> <li>Report automation experience (e.g. using Python, R)</li> <li>Knowledge of AWS services and cloud computing</li> <li>Experience with descriptive and inferential statistics</li> <li>Experience with financial industry regulations</li> <li>Experience with QMS and L&amp;D-centric metrics</li> </ul> JOB ID: P62711 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $131,325—$154,500 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Data Analyst

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The Compliance Technology Team at Coinbase plays a critical role in achieving our mission. Compliance Technology designs, builds and maintains complex systems at a global scale to meet BSA/AML regulations with industry best practices. Within the Compliance Technology - KYC team, we are building KYC technology, Customer Risk Rating models, and internal and external reports and dashboards to support our Compliance processes and stakeholders. The ideal candidate should have strong data analytics, SQL, Python, and data visualization skills. In addition, the candidate should have working knowledge of BSA/AML compliance, KYC and customer risk rating. Software engineering experience in Compliance will be a big plus. What you’ll be doing (ie. job duties): <ul> <li>Build Compliance systems and infrastructure working in a cross-functional dynamic environment</li> <li>Use your strong technical skills to build and enhance KYC Customer Risk Scoring models</li> <li>Investigate issues, fix production bugs and build enhancements requested by end-users in the Compliance and Operations teams</li> <li>Writing clear documentation which can be reviewed by regulators and external examiners</li> <li>Working to a deadline to deliver accurate reports and dashboards</li> <li>Collaborate cross-functionally to deliver solutions</li> <li>Design and build self-service dashboards and reports, including the use of visualizations</li> <li>Produce Data Extracts for Compliance stakeholders </li> </ul> What we look for in you (ie. job requirements): <ul> <li>Minimum 2 years of technology experience in a data analytics or a systems engineering role at a large consulting, financial institution, technology or a financial technology firm</li> <li>Excellent programming skills; strong SQL, Go and/or other programming language skills</li> <li>Prior development experience in Legal, Compliance and/or Risk products or services</li> <li>Ability to thrive in a fast paced and dynamic environment; prior experience in a start-up or high growth environment will be a plus</li> <li>Knowledge of software development life cycle (SDLC): requirements development, system design, development, testing and production launch. Software engineering experience will be a big plus</li> <li>Ability to successfully collaborate in a cross-functional environment </li> <li>Data-driven approach to problem solving </li> <li>Strong communication skills, both verbal and written (including writing formal documentation)</li> <li>A quick learner and a team player who enjoys building and doing hands-on work</li> <li>Keen interest in learning about crypto and building innovative solutions</li> </ul> Nice to haves: <ul> <li>Excellent analytical skills; strong Python skills</li> <li>Knowledge of data visualization tools like Tableau, Redash and Looker</li> <li>Prior development experience in KYC and Risk Rating </li> <li>Prior experience with GitHub</li> <li>Knowledge of cryptocurrencies will be a big plus but not a prerequisite</li> <li>Model Validation and working with external examinations</li> <li>Knowledge of Agile Methodologies, including SCRUM</li> </ul> Job #: P58117 #LI-Remote Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $67,500—$75,000 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Compliance Technology KYC Data Analyst

At Habitat, we believe data drives everything we do – from fundraising, event planning, solicitation of volunteers, advocacy for safe and affordable housing, partnerships, and government/grant programs to engage, serve, and support our constituents. As such, we are seeking a Senior Data Engineer to join our Data Management Team. The primary responsibility in this role includes managing and optimizing Habitat’s enterprise data systems. This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills. Essential Duties and Responsibilities: • Troubleshooting and Optimization: Troubleshoot data-related issues and continuously optimize data systems for better performance. (25%) • Data Pipeline Management: Develop and oversee data pipelines that ensure smooth data flow from various sources to storage and processing systems (20%) • Design and Build Data Systems: Create and maintain Habitat’s data systems, databases, and data warehouses to store and manage large volumes of data (20%) • Collaboration: Work closely with Director of Data Management, data architects, data analysts, and other stakeholders to understand data needs and implement approved data solutions (20%) • Data Compliance and Security: Ensure that data systems comply with security standards and regulations, protecting sensitive information. (10%) • Team Guidance: Provide technical guidance in best practices and project execution. (5%) Note: % of time commitment will fluctuate based on product need Minimum Qualifications: • Education: Bachelor’s Degree (Related Technical Discipline) • 6+ years hands on experience in data engineering, data system development, or related roles Requirements: • Familiarity with multiple data architecture design patterns • Ability to build, maintain and improve data architecture, data collection and data storage systems • Ability to write and interpret code/support the Agile teams as needed • Proficiency in ETL/ELT technologies with focus in Microsoft technology stack • Extensive programming experience of data processing languages (SQL/T-SQL, Python, Java, JavaScript) • Strong computer science background and knowledge of software development methodologies • Proficiency in cloud delivery models, cloud platforms, cloud storage, data streaming, and data frameworks (SaaS/DaaS/PaaS/IaaS, Azure, microservices, Dmbok2, TOGAF) • Strong skills in relational databases and data warehousing • Familiarity with big data tools such as Kafka, Spark, Hadoop • Expertise in code management utilizing GitHub/Visual Studio • Experience utilizing productivity tools with specialty utilizing Jira • Experience with DevOps practices, configuration frameworks and CI/CD automation tooling • Soft Skills: • Ability to communicate complex technical concepts to non-technical stakeholders • Effective in working both independently and within a team • Diligent, rigorous, and collaborative • Strong problem-solving and analytical abilities • Ability to work collaboratively in a fast-paced environment Preferred – in addition to minimum: • Certification in Data Engineering preferred • Certified SAFe 6 Practitioner • Experience with large-scale enterprise transformations • Proficiency in data visualization (Power BI, Tableau, MS Excel) • Experience working with Kubernetes • Experience working in a matrixed organization • Active support of HFHI Values: o Humility – We are part of something bigger than ourselves o Courage – We do what’s right, even when it is difficult or unpopular o Accountability – We take personal responsibility for Habitat’s mission • Safeguarding: HFHI requires that all employees take seriously their ethical responsibilities to safeguarding our intended beneficiaries, their communities, and all those with whom we work. Managers at all levels have responsibilities to support and develop systems that create and maintain an environment that prevents harassment, sexual exploitation, and abuse, safeguards the rights of beneficiaries and community members (especially children), and promotes the implementation of Habitat for Humanity’s code of conduct. The actual salary offered for this role will be based on a variety of factors, including location, internal equity and the candidate’s qualifications and professional experience. HFHI offers a competitive, comprehensive benefits package that varies by country and typically includes vacation leave, sick leave, personal days, health insurance options, retirement plan contributions and life insurance. For work locations in the US, the hiring range for this position is $86,700 to $102,000.

Terwilliger Centre for Innovation in Shelter

Senior Data Engineer

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system. One of Doximity's <a href="https://work.doximity.com/" target="_blank">core values</a> is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it! As a Data Analytics Manager, you'll work within cross-functional delivery teams alongside other analysts, engineers, and product managers in discovering data insights to help improve healthcare. This role can be filled in our San Francisco headquarters OR remotely in the U.S. About Us <ul> <li>Here are<a href="https://drive.google.com/open?id=1qimYh0mG3i1nTJe6jDCDepJt2i4o8MEB" target="_blank"> some of the ways we bring</a> value to doctors</li> <li>Here is an<a href="https://technology.doximity.com/technology-stack" target="_blank"> introduction</a> to our tech stack </li> <li>We use UNIX command-line interface and standard programming tools (vim/emacs, git, etc.) and have over 350 private repositories in Github containing our applications, forks of gems, our own internal gems, and<a href="https://github.com/doximity" target="_blank"> open-source projects</a> </li> <li>We have worked as a distributed team for a long time;<a href="https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c" target="_blank"> we're currently about 65% distributed</a> </li> <li>Find out more information on the<a href="https://engineering.doximity.com/" target="_blank"> Doximity engineering blog</a> </li> <li>Our<a href="https://work.doximity.com/" target="_blank"> company core values</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/engineering-recruitment-process-doximity" target="_blank"> recruiting process</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/mofo-driven-product-development" target="_blank"> product development cycle</a> </li> <li>Our<a href="https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity" target="_blank"> on-boarding &amp; mentorship process</a> </li> </ul> Here's How You Will Make an Impact <ul> <li>Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.</li> <li>Play a key role in creating both product and client-facing analytics.</li> <li>Inform data team strategy by working with the product leaders and managers. Actively participate in execution and some planning of organizational data team strategy.</li> <li>Contribute as part of a cross-functional team of product managers, analysts, and engineers to define and lead data projects from data ingestion to analysis to recommendations.</li> <li>Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization.</li> <li>Manage individual Data Analysts to foster learning, growth and success at Doximity.</li> </ul> About You <ul> <li>You have at least 5 years of industry experience as a data analyst or a data scientist.</li> <li>You have experience managing 4 or more people whereby you were accountable for their growth and success as individuals and team members.</li> <li>You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.</li> <li>You are able to contribute individually, outside of your reports or team by taking on analysis and recommendation driven projects leveraging SQL and Python.</li> <li>You are proficient in SQL and Python for hands-on analysis involving numerous tables and data relationships, and are familiar with object-oriented programming concepts as it relates to Python.</li> <li>You have an advanced understanding of probability and statistics (e.g., experimental design, optimization, predictive modeling).</li> <li>You can balance priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).</li> <li>Fast learner, collaborative attitude and a natural curiosity and passion for data.</li> </ul> This role is not eligible for immigration sponsorship. Compensation The US total compensation range for this full-time position is $170,000 - $220,000 (inclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits. More on /Benefits/Perks Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include: <ul> <li>Medical, dental, vision offerings for you and your family</li> <li>401k with matching program</li> <li>Employee stock purchase plan</li> <li>Family planning support, Childcare FSA, and parental leave</li> <li>Life, AD&amp;D, and Disability</li> <li>Generous time off, holidays and paid company trips</li> <li>Wellness benefits…plus many more!</li> </ul> More About Doximity… For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members. Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our <a href="https://workat.doximity.com/" target="_blank">careers page</a>, <a href="https://blog.doximity.com/" target="_blank">company blog</a>, and <a href="https://engineering.doximity.com/" target="_blank">engineering blog</a>. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit<a href="http://www.doximity.com/" target="_blank"> Doximity.com</a>. ____________________________________________ EEOC Statement Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Doximity

Data Analytics Manager

<h1>Principal Machine Learning Engineer - Central AI</h1> <a href="https://careers-americas.icims.com/jobs/16640/principal-machine-learning-engineer---central-ai/job?mode=apply" target="_blank">Apply for this job</a> Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is seeking a Principal Machine Learning Scientist to join our Central AI team located in Bellevue WA. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. Your Future Team The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future. While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation. What you’ll do As a Principal Machine Learning engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings. On the first day, we'll expect you to have <ul><li>Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience) </li></ul> <ul><li>5+ years of related industry experience in the data science domain </li></ul> <ul><li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) </li></ul> <ul><li>Experience building and scaling machine learning models in business applications using large amounts of data </li></ul> <ul><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story </li></ul> <ul><li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future" </li></ul> <ul><li>Agile development mindset, appreciating the benefit of constant iteration and improvement </li></ul> It's great, but not required, if you have <ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space </li></ul> <ul><li>Experience in developing deep learning-based models and working on LLM-related applications </li></ul> <ul><li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.</li></ul> Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $229,300 - $305,700 Zone B: $206,300 - $275,100 Zone C: $190,300 - $253,700 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <a href="http://go.atlassian.com/payzones" target="_blank">go.atlassian.com/payzones</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks &amp; benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit <a href="http://go.atlassian.com/perksandbenefits" target="_blank">go.atlassian.com/perksandbenefits</a>to learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh" target="_blank">go.atlassian.com/crh</a>. <a href="https://careers-americas.icims.com/jobs/16640/principal-machine-learning-engineer---central-ai/job?mode=apply" target="_blank">Apply for this job</a>

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