field_remote_option

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Machine Learning Engineer who will build out and design machine learning infrastructure for a team of data &amp; remote sensing scientists, working collaboratively with the Analytics and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Machine Learning Engineer means that you will be responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.<h3>As a Machine Learning Engineer your responsibilities will include:</h3> <ul> <li>Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster) </li> <li>Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference</li> <li>Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training </li> <li>Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data</li> </ul><h3>Basic qualifications:</h3> <ul> <li>3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li> <li>Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack</li> <li>Experience with deploying and monitoring models in clouds environments (AWS)</li> <li>Ability to work independently as well as collaboratively in a startup environment</li> <li>Comfortable with rapid decision-making and taking ownership of system design</li> <li>Excellent written and oral communication skills</li> </ul><h3>Standout candidates will have:</h3> <ul> <li>Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data</li> <li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI</li> </ul><h3>Benefits of working at OSK:</h3> <ul> <li>We offer competitive compensation and equity packages</li> <li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents</li> </ul> ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a <a href="http://U.S.citizen" target="_blank">U.S.citizen</a> or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Orbital Sidekick

Machine Learning Engineer

<h1>Senior Principal Software Engineer, Growth</h1> Engineering | Mountain View, United States or Remote | Remote, Remote | Austin, United States | Full-Time <a href="https://careers-americas.icims.com/jobs/13878/senior-principal-software-engineer%2c-growth/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 The Growth team drives Atlassian forward by improving customer experiences by driving the top of funnel traffic into Atlassian products. The team is comprised of people with backgrounds in multiple languages, stacks, and business types - creating a highly diverse team. We use data heavily to run experiments across all of Atlassian's core products to make and show the benefits of our paid tiers as well as removing friction from flows for our users 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: $239,000 - $318,600 Zone B: $215,100 - $286,800 Zone C: $198,400 - $264,500 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. What you'll do <ul> <li>Combine product, business, customers, and deep engineering knowledge to help the team build simple solutions to complicated problems</li> <li>Ensure that excellent operational and engineering health is maintained across our systems and experiments</li> <li>Introduce and improve adoption of new technologies and experimentation best practices from across the industry</li> <li>Work with architects across Atlassian to align technical strategies and understand the needs of our platform consumers.</li> <li>Partner with leadership, stakeholders, cross-functional teams to connect technical approach with business needs and strategic direction</li> </ul> Your background <ul> <li>Experience working in an experimentation and data-driven environment.</li> <li>Experience with SaaS, PaaS, IaaS with hands-on experience of one or more public cloud offerings (AWS)</li> <li>10+ years of experience building software, with 4+ years implementing high-volume, low-latency distributed systems</li> <li>You see the interactions between technical decisions, people and process on a long timescale. Past management experience would help you with this but isn't essential.</li> </ul> <a href="https://careers-americas.icims.com/jobs/13878/senior-principal-software-engineer%2c-growth/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Principal Software Engineer, Growth

<h2>This is Engineering at Lattice</h2> Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture, but also an amazing product experience. Lattice is enhancing its platform so that every organization can manage its people efficiently and strategically. The HRIS admin team is focused on building the core experience for HR administrators to leverage Lattice as an HRIS. The team’s vision is to empower HR administrators with unprecedented data configurability and highlight actionable insights for strategic decision-making. <h2>What You Will Do</h2> <ul> <li>You’ll be responsible for building software to help companies build cultures in which their employees thrive.</li> <li>You’ll partner with other engineers to build and own products across a modern tech stack. Our current stack includes Typescript, React, Relay Modern, GraphQL, Node.js, PostgreSQL, and AWS.</li> <li>You’ll drive forward the execution of complex projects, many of which require tight cross-functional collaboration with product managers and designers as well as cross-team collaboration between engineers.</li> <li>You will make contributions to our engineering practices, identifying and evangelizing improvements to improve our team output.</li> <li>You will create and update high-quality technical documentation based on feedback from relevant stakeholders.</li> <li>You will focus on improving our user experience and find creative ways to reduce user pain points.</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>You are passionate about software development and have 2+ years of professional experience writing and maintaining production-level applications.</li> <li>You have production-level experience in TypeScript, React, GraphQL, Node.js, and are passionate about learning and using any new technologies that are required at the job.</li> <li>Prior experience within B2B SaaS is a plus, not a requirement.</li> <li>You are efficient in SQL and know how to model data and write performant queries in a relational database like PostgreSQL.</li> <li>You love to work on challenging projects that require coordination with multiple teams and multiple engineers.</li> <li>You are able to seek out the root cause when debugging software defects, and champion improvements that prevent future issues.</li> <li>You are always striving towards understanding the codebase inside and out.</li> <li>You have the ability to understand the nuances of product requirements and translate them into code.</li> <li>You take care to write code that your colleagues will also own, comprehend, and maintain.</li> <li>You are clear and concise in explaining your thought process and in enumerating the tradeoffs made in your work.</li> </ul> The estimated annual cash salary for this role is $112,000 - $164,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Slack, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Software Engineer, HRIS Admin

<h1>Principal Machine Learning Engineer</h1> Engineering | San Francisco, United States | Remote, Remote | Remote, Americas | <a href="https://careers-americas.icims.com/jobs/13267/principal-machine-learning-engineer/job?mode=apply" target="_blank">Apply for this job</a> <h2>Working at Atlassian</h2> 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 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. <h2>Your future team</h2> 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. 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. <h2>What you’ll do</h2> 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. <h2>Your background</h2> <h3>On the first day, we'll expect you to have</h3> <ul> <li>Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)</li> <li>5+ years of related industry experience in the data science 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>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/13267/principal-machine-learning-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Principal Machine Learning Engineer

<h3>Senior/Lead Product Designer, Remote</h3>$140k – $210k • 0.0% – 3.0% About Vori Vori is building the modern operating system for the grocery industry. Our technology seamlessly connects data across the food supply chain, streamlining operations for grocers and suppliers while democratizing food supply access. Our world-class team is on a mission to unite the supply chain to ensure communities have access to the goods they need and love in order to live, work, learn, and play—starting with food. Our customers include everyone from Safeway and CVS properties on down to local corner stores. We're backed by Greylock Partners, Y Combinator, South Park Commons, Village Global, as well as founders from Instacart and DoorDash, plus product executives from Airbnb, Pinterest, Albertson's/Safeway, and even some early Vori customers. Check out our website <a href="http://www.vori.com/" target="_blank">www.vori.com</a>, and learn more about our product, 👉 <a href="https://youtu.be/ZpHy3DkpUpQ" target="_blank">here</a>. About This Role Design is at the core of Vori’s founding DNA, and you will be an early leader on a growing design team, where you will lead our new point of sale product and shape the future of food retail. We are looking for creative, experienced people who can pick up a complex problem and solve it from first principles. We value systems thinkers who care just as much about how something works as how it looks, and care deeply about our impact on customers and the world. If you're a world class product designer who loves food and fighting to empower small and medium sized businesses in old school industries, join us! What you'll do <ul> <li>Contribute to the overall product and design direction of the whole company</li> <li>Devise simple, elegant solutions to complex real world problems</li> <li>Create flows, prototypes, and high-fidelity visuals for your features</li> <li>Evolve our design system and craft a design language for the food supply chain</li> <li>Help with hiring and establishing a design culture within the company</li> <li>Combat food waste &amp; food deserts by transforming how grocery stores operate</li> </ul> What we’re after <ul> <li>Significant professional product design experience</li> <li>Excellent design craft, including visual, UI, UX, and interaction skills</li> <li>Deep curiosity and passion for solving customer problems</li> <li>Effective written and verbal communication skills that generates clarity in otherwise ambiguous situations</li> <li>Ability to think through complex system challenges that span bits and atoms</li> <li>Expressing ideas through visuals and prototyping (Vori uses Figma)</li> </ul> Nice To Haves <ul> <li>Experience working on payments, point of sale, or supply chain-focused products</li> <li>Experience taking products 0-1, or starting your own company</li> </ul> What we can give you <ul> <li>Opportunity to work with a world-class, diverse team</li> <li>Competitive salary &amp; equity with employee-friendly terms (early exercise)</li> <li>Personal financial advisor</li> <li>Remote work, with an office when you need it</li> <li>Stipend to set up your home office</li> <li>Regular team events and retreats</li> <li>Unlimited PTO, with minimum 21 days off</li> <li>Generous paid parental leave</li> <li>Health, dental and vision insurance</li> </ul>

Vori

Backend Software Engineer

<h1>Lead Principal Machine Learning Software Engineer</h1> Engineering | San Francisco, United States | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/12641/lead-principal-machine-learning-software-engineer/job?mode=apply" target="_blank">Apply for this job</a> <h2>Working at Atlassian</h2> 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 Lead Principal Machine Learning Software Engineer to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company. <h2>Your future team</h2> The Central AI organization is a key component of the broader Atlassian Intelligence initiative. Its mission is to expedite AI innovation across all our products and platforms, ensure a unified AI user experience, and establish a robust AI infrastructure for Atlassian's 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. <h2>What you’ll do</h2> As a Lead Principal Machine Learning Software Engineer, your role will be instrumental in steering the development and deployment of advanced machine learning algorithms. You will be tasked with training complex models and working in close collaboration with product, back end/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 or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)</li> <li>15+ years of related industry experience in the data science 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>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li> <li>Experience with large-scale web search or enterprise search systems</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> 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: $279,600 - $372,800 Zone B: $251,600 - $335,500 Zone C: $232,100 - $309,400 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. <a href="https://careers-americas.icims.com/jobs/12641/lead-principal-machine-learning-software-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Lead Principal Machine Learning Software Engineer

<h1>Principal Full Stack Software Engineer</h1> Engineering | San Francisco, United States | Remote, Americas | Full-Time <a href="https://careers-americas.icims.com/jobs/10656/principal-full-stack-software-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. To help our teams work together effectively, this role is fully remote, but requires you to be located in a US timezone. We're looking for a Principal Fullstack Software Engineer to join our team, passionately focused on delivering creative improvements for our engineering teams. <h2>Responsibilities</h2> In this role, you will: <ul> <li>Understand the user journey and user funnel</li> <li>Collaborate with product, design and engineering to influence product strategy and direction</li> <li>You will guide the technical direction and implementation of large-scale product features</li> <li>Evaluate trade-offs between correctness, robustness, performance and customer impact to ensure we build the right solution</li> <li>Debug inefficiencies on the team and fix them</li> <li>Ship well-tested, secure, reliable, and maintainable code while keeping our customers best interests in mind</li> <li>Contribute to code reviews, documentation, and complex bug fixes with security, performance and reliability in mind</li> <li>Mentor and level up the skills of your teammates by sharing your expertise</li> <li>Improve the growth engineering team through mentoring</li> <li>Identify blockers to ensure software engineering excellence (design principles and patterns, unit testing, performance engineering, best practices for security and privacy)</li> </ul> <h2>Qualifications</h2> Your background: <ul> <li>10+ years of experience designing/building enterprise-grade solutions using microservices</li> <li>Background in Java, Kotlin, Observability tools, and service operations</li> <li>In-depth knowledge of AWS offerings</li> <li>Experience building distributed systems for a SaaS product</li> <li>Passion and experience with recognizing, raising, and reconciling gaps and redundant efforts across organizations</li> <li>Success with cross-company collaboration</li> <li>Experience influencing and performance coaching engineers</li> </ul> Compensation 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. 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: $205,800 - $274,400 Zone B: $185,200 - $246,900 Zone C: $170,800- $227,700 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. #LI-Remote 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/10656/principal-full-stack-software-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Principal Full Stack Software Engineer

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. We are looking for inquisitive, well-rounded Backend engineers to join our Core, Monetization, and Tech Foundations engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks &amp; features. You will accelerate velocity for one of the world’s largest public cloud workloads. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: <ul> <li>Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest</li> <li>Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users</li> <li>Partner with design, product, and backend teams to build end-to-end functionality</li> <li>Put on your Pinner hat to suggest new product ideas and features</li> <li>Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop</li> <li>Grow as an engineer by working with world-class peers on varied and high impact projects</li> <li>Design, develop, and operate large scale, distributed systems and networks</li> <li>Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner</li> <li>Actively work to improve the developer process and experience in all phases from coding to operation</li> </ul> What we’re looking for: <ul> <li>4+ years of industry backend development experience, building consumer or business facing products</li> <li>Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing</li> <li>Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers</li> <li>Ability to keep up-to-date with new technologies to understand what should be incorporated</li> <li>Strong collaboration and communication skills</li> <li>Experience building &amp; operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint</li> <li>Experience in Python, Java, C++, or Go or another language and a willingness to learn</li> </ul> This position is not eligible for relocation assistance. #LI-SA1 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $125,630—$258,470 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require an accommodation during the job application process, please notify <a href="#">accessibility@pinterest.com</a> for support.

Pinterest

Senior Backend Software Engineer

<h1>Senior Site Reliability Engineer</h1> Engineering | Mountain View, United States or Remote | Remote, Remote | Full-Time <a href="https://careers-americas.icims.com/jobs/13635/senior-site-reliability-engineer/job?mode=apply" target="_blank">Apply for this job</a> Love staying ahead of the growth curve and experimenting with new software and environments? Get on board as an Atlassian Site Reliability Engineer. As a Site Reliability Engineer (SRE) you will actively work to improve the performance and reliability of services as well as address root causes of incidents and reduce incident rates You will deep dive into the services we support and own the problem and the corresponding solution, as well as automating away repetitive work. You'll also respond to pings, pages, and alerts to investigate issues in our systems that you can really sink your teeth into. The best person for this role is someone who has a collaborative spirit - in our world, it’s not about being a hero and having all the answers, it’s about sometimes saying "I don't know" and working on finding solutions rather than starting with an assumption. The team needs someone who can ask questions, learn from others and turn chaos into order. You will serve in an on-call weekly rotation to make sure our products meet established SLAs. This role would be a great fit for someone with creative and innovative problem solving skills with a willingness to take responsibility for the code you write all the way to production. You will develop and implement solutions that operate at scale - seeing your own technology efforts directly improve the reliability of our services. Our teams are empowered and expected to improve our products to truly deliver a reliable experience to customers. You will own development efforts in each and every sprint from planning to delivery to realise this goal and collaborate with different team members to review code. One thing we promise: you’ll never be bored. On your first day, you will have experience in: <ul> <li>Writing code in Bash and Python</li> <li>Triaging and diagnosing user facing service outages</li> <li>Engage in capacity planning, demand forecasting, software performance analysis, and systems tuning.</li> <li>Experience configuring and managing enterprise monitoring solutions</li> <li>Understanding of Linux systems </li> <li>Building, automating, and maintaining infrastructure in Amazon Web Services</li> <li>Maintaining a high standard of code quality</li> </ul> We'd be super excited if you have: <ul> <li>Exposure to and maintenance of configuration management and orchestration tools such as Ansible and Puppet</li> <li>Experience with container management and microservices architectures such as Docker and Kubernetes</li> <li>Understanding of ITIL terminology for incident and problem management</li> <li>Management and troubleshooting of a continuous integration pipeline</li> <li>Experience breaking down complex projects</li> <li>Experience with Compliance requirements (SOC2, FedRamp, etc)</li> </ul> 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>. 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: $173,200 - $230,900 Zone B: $155,900 - $207,800 Zone C: $143,800 - $191,700 <a href="https://careers-americas.icims.com/jobs/13635/senior-site-reliability-engineer/job?mode=apply" target="_blank">Apply for this job</a>

Site Reliability Engineer

<h1>Principal Machine Learning System Engineer</h1> Engineering | San Francisco, United States | Remote, Remote | Remote, Americas | <a href="https://careers-americas.icims.com/jobs/13270/principal-machine-learning-system-engineer/job?mode=apply" target="_blank">Apply for this job</a> <h2>Working at Atlassian</h2> As a Senior Software Engineer in the Central AI team, you will build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. You will have the opportunity to lead other engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results. 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. <h2>Your future team</h2> 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. <h2>On your first day, we’ll expect you to have</h2> <ul> <li>5+ years of experience as a software developer.</li> <li>Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).</li> <li>Experience with Continuous Delivery and Continuous Integration.</li> <li>Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).</li> <li>Experience with distributed large-scale data processing (preferably Apache Spark).</li> <li>Basic understanding of Machine Learning projects lifecycle.</li> </ul> <h2>It would be great, but not required if you have</h2> <ul> <li>Expert-level with search platform, deep learning training/inference platfrom.</li> <li>Experience with Databricks.</li> <li>Experience with scaling and deploying Machine Learning models.</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/13270/principal-machine-learning-system-engineer/job?mode=apply" target="_blank">Apply for this job</a>

36 Software Engineering Jobs in Mountain View, CA, USA