Machine Learning Engineer, 2026 Graduate U.S.

Overview

Working at AtlassianAtlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both.

As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed.

Your Future Org

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!

This role is located in San Francisco or Seattle. You must be willing and able to work within 25 miles of either our Seattle or San Francisco graduate hub office to qualify. All Graduates located within 25mi will receive a Hub bonus.

This position is not eligible for F1 and J1 students. It is not available for any work sponsorship.

Responsibilities

Your future team

At Atlassian, our machine learning teams tackle business and product challenges across the company. Collaborating with stakeholders in Growth, GTM, Product, Finance, and Sales, we deliver machine learning infrastructure and model applications. Our teams, comprised of ML engineers and system engineers, foster collaboration, knowledge sharing, and individual growth. They operate nimbly, emphasizing speed from conceptualization to initial output while maintaining a strong focus on business impact. This role offers a unique chance to work in a collaborative environment and implement cutting-edge machine learning techniques, including search/recommendation engines, GenAI applications, LLM training, and more.

Responsibilities

• Focus on Machine Learning applications and ideas for recommendation and personalization

• Build machine learning models and work on Generative AI projects

• Translate business problems into technical solutions

Minimum Qualifications

• Pursuing a masters or bachelors degree in a quantitative subject (Mathematics, Computer Science, Statistics, Machine Learning, Operations Research, or relevant work experience)

• Experience writing software with minimal bugs in Python, Scala, or Spark; SQL experience a bonus

• Experience building machine learning models in academic coursework or related industry intern experience

• Currently enrolled in a full-time masters degree program and graduating by June 2026

Qualifications

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: $142,200 - $189,600

Zone B: $128,000 - $170,600

Zone C: $118,000 - $157,400

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. However, please confirm the zone for your specific location with your recruiter.

Our perks & 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 go.atlassian.com/perksandbenefits 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 go.atlassian.com/crh.