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<h1>Senior Machine Learning Engineering Manager</h1> <a href="https://careers-americas.icims.com/jobs/13342/senior-machine-learning-engineering-manager/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 Senior Machine Learning Engineering Manager, 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>Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work 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> 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> <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> 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/13342/senior-machine-learning-engineering-manager/job?mode=apply" target="_blank">Apply for this job</a>

Atlassian

Senior Machine Learning Engineering Manager

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. Principal Software Engineer, Ads Infrastructure Pinterest is one of the fastest growing online advertising platforms and our continued success depends on rapidly scaling our core revenue-generating systems. Specifically, we need 10X the scale of our campaign management, ad delivery, and machine learning platforms, while enabling developers inside Pinterest and external advertisers to build and iterate rapidly on new features. We are looking for a Principal Software Engineer to initiate, design, and build the next-gen version of the key infra components in our monetization ecosystem, such as modernizing our end-to-end ML platform serving over hundreds of use cases making billions of predictions per second, and redesigning our catalog ingestion and ads delivery systems to become one of the leading advertising platforms in the world. This role is exciting, because not only will you be able to lean on your deep infra knowledge to redesign systems at a very large scale, but also have the opportunity to work with very experienced engineers and cross-functional partners to solve problems that impact the topline and/or bottomline of our business. What you'll do: <ul> <li>Re-architect core catalog, ads indexing and serving infrastructure to achieve greater scalability, freshness, performance, and reliability, using data storage, streaming processing, and information retrieval technologies such as MySQL, TiDB, Flink, and HNSW.</li> <li>Modernize the ML ecosystem for the entire Pinterest Ads product, replacing a hodgepodge of out-of-date ML stack with a unified, modern, and privacy-first ML stack with Pytorch, Spark, Iceberg, and GPU based serving.</li> <li>Collaborate with cross-functional teams to define problems and drive solutions.</li> <li>Work with a strong team of engineers and provide technical guidance and mentorship.</li> </ul> What we're looking for: <ul> <li>10+ years of relevant industry experience with distributed systems, transactional datastores, and systems programming.</li> <li>Experience in building and owning large scale high performance infrastructure powering ads, recommendation, search, or other consumer facing applications.</li> <li>Experience solving end-user problems and envisioning solutions to improve their productivity.</li> <li>Proficiency in Java, C++, or Python.</li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">PinFlex</a> page to learn more about our working model.</li> </ul> #LI-HYBRID #LI-AG8 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 $227,299—$467,998 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, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. 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.

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