Develop and scale machine learning algorithms, models, infrastructure, and data pipelines supporting AI features across Atlassian products. Responsibilities include designing model and system architectures, conducting experimentation and evaluations, collaborating with product, engineering, and analytics teams, building production-quality solutions using large datasets, and mentoring junior ML engineers.
Engineering | San Francisco, United States | Remote, Remote | Full-Time
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 Senior Machine Learning Engineer to join our Central AIteam. 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 teamThe 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. 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 doAs a Senior Machine Learning engineer, you will work on 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 junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
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: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
On the first day, we'll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree orequivalent experience)3+ years of related industry experience in the data science domainExpertise in Python or Java with and the ability to write performantproduction-quality code, familiarity with SQL, knowledge of Spark andcloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in businessapplications using large amounts of dataAgile development mindset, appreciating the benefit of constant iterationand improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS productprovider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working onLLM-related applicationsExcelling in solving ambiguous and complex problems, being able tonavigate through uncertain situations, breaking down complex challengesinto manageable components and developing innovative solutions
CompensationAt 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 basepay ranges for new hires in each zone are:Zone A: $206,100 - $269,075Zone B: $185,490 - $242,168Zone C: $171,063 - $223,332This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit
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 Senior Machine Learning Engineer to join our Central AIteam. 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 teamThe 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. 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 doAs a Senior Machine Learning engineer, you will work on 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 junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.
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: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
On the first day, we'll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree orequivalent experience)3+ years of related industry experience in the data science domainExpertise in Python or Java with and the ability to write performantproduction-quality code, familiarity with SQL, knowledge of Spark andcloud data environments (e.g. AWS, Databricks)Experience building and scaling machine learning models in businessapplications using large amounts of dataAgile development mindset, appreciating the benefit of constant iterationand improvementIt's great, but not required, if you haveExperience working in a consumer or B2C space for a SaaS productprovider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working onLLM-related applicationsExcelling in solving ambiguous and complex problems, being able tonavigate through uncertain situations, breaking down complex challengesinto manageable components and developing innovative solutions
CompensationAt 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 basepay ranges for new hires in each zone are:Zone A: $206,100 - $269,075Zone B: $185,490 - $242,168Zone C: $171,063 - $223,332This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit
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