Machine Learning Engineer
Engineering | Full-Time
Working at AtlassianAtlassians 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 TeamThe mission of Atlassian is to unleash 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. AI/ML is significantly transforming how teams come together to plan, track, and deliver work across software and business teams using our products. We are looking for rockstar Machine learning engineers to come help us to further this mission and help make teams more productive leveraging AI across our product portfolio.
What you'll doAs a Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training 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. You will be responsible for application of AI/ML to various product problems to improve Atlassian products and actively contribute toAtlassian Intelligence features.
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On your first day, we'll expect you to haveBachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).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 is a plus (e.g. AWS, Databricks)Experience building and scaling machine learning models using large amounts of dataExperience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B spaceExperience in developing deep learning-based models and working on LLM-related applicationsExcelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutionsCompensationAt 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: $178,200 - $232,650Zone B: $160,380 - $209,385Zone C: $147,906 - $193,100This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA With Employer Contribution
- Fitness Subsidies
- Mental Health Benefits
- On-Site Gym
- HSA
Parental Benefits
- Adoption Leave
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
- Work-From-Home Stipend
Office Life and Perks
- Holiday Events
- Casual Dress
- Pet-friendly Office
- Happy Hours
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Volunteer Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Access to Online Courses
- Internship Program
- Leadership Training Program
- Tuition Reimbursement
- Learning and Development Stipend
- Promote From Within
Diversity and Inclusion
- Founder led
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Company Videos
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