Senior Machine Learning Engineer
Atlassian
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This role on the market
1,483 open learning roles across 349 companies are on ApplySarthi right now, most of them in Bengaluru (53), Hyderabad (31), Delhi NCR (9).
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What learning roles keep asking for: Machine learning (63%), Python (52%), PyTorch (37%), LLMs (30%), Deep learning (27%), AWS (21%), C++ (19%), Generative AI (18%) — counted across their open postings here.
Machine Learning Engineer jobs in the United States · Machine Learning Engineer jobs in San Francisco · Remote Machine Learning Engineer jobs · AWS jobs · Databricks jobs · Deep learning jobs · Java jobs
Atlassian has 341 open roles listed here.
- Principal Data Engineerbengaluru
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- Principal Machine Learning Engineer (GenAI Products with Enterprise Knowledge)
- Principal Technical Program Manager (Analytics or AI/ML Platform)bengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, PyTorch, LLMs. Practise those questions before you sit with Atlassian.
Questions you are likely to be asked
- Why do you want to join Atlassian?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Senior Machine Learning Engineer at Atlassian interview free →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 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. 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. 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 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. On the first day, we'll expect you to have Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience) 3+ years of related industry experience in the data science domain 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) Experience building and scaling machine learning models in business applications using large amounts of data Agile development mindset, appreciating the benefit of constant iteration and improvement It's great, but not required, if you have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications 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 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: $206,100 - $269,075 Zone B: $185,490 - $242,168 Zone C: $171,063 - $223,332 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. Please visit go.atlassian.com/perksandbenefits to learn more more our perks and benefits. 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 go.atlassian.com/crh .
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