Senior Machine Learning Engineer
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.
Innovate core intelligence solutions within company's DevAI products including but not limited to LLM
(Large Language Model) integration, prompt engineering, and the development of end-to-end AI features
using cutting-edge technologies. Collaborate closely with a diverse and highly skilled group of scientists
and software engineers and multiple partner teams across the company to communicate technical details
effectively to the team and engage in technical discussions to contribute ideas and solutions. Design LLM
based methodology and algorithms tailored to specific product needs. Perform data preprocessing and
feature engineering to improve product inputs and performance. Conduct experiments to evaluate the
performance of products and use a variety of metrics and testing methods to ensure the solutions meet
design specifications. Implement and optimize machine learning pipelines. Monitor and maintain the
deployed intelligence solutions to ensure they continue to perform accurately and efficiently.
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MINIMUM REQUIREMENTS:
Must have a Bachelor's degree in Computer Science, Management Science and Engineering, or a related
field.
Must have three (3) years of experience in IT tech industry on Machine Learning related domains,
including experience building and scaling machine learning models in business applications using large
amounts of data;
Must have three (3) years of experience with demonstrated ability to communicate and explain data
science concepts to diverse audiences, crafting a compelling story;
Must have three (3) years of experience working with Agile development mindset, appreciating the benefit
of constant iteration and improvement; and
Must have three (3) years of experience in developing deep learning-based models and working on LLM-
related applications.
SPECIAL REQUIREMENTS: Must pass technical interview.
Offered Wage: $202,500 - $264,375 per year
EMPLOYER CONTACT: Nancy Rodriguez, Immigration SpecialistAtlassian US, Inc.
301 East Evelyn Avenue
Mountain View, California 94041
Email: nrodriguez@atlassian.com
Phone: (415) 701-1110
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
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.
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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