Machine Learning Engineer, 2026 Graduate U.S.

Position Overview

Working at Atlassian means having the flexibility to collaborate where you work best – at home, in one of our global offices, or both. Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to empower students for a successful career. This role is located in San Francisco or Seattle, and candidates must be within 25 miles of the respective graduate hub office. Please note that this position is not eligible for F1 and J1 students and is not available for any work sponsorship.

Key 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

Required 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 is a bonus
• Experience building machine learning models in academic coursework or through related industry intern experience
• Currently enrolled in a full-time masters degree program and graduating by June 2026

Compensation

At Atlassian, we design equitable, explainable, and competitive compensation programs. Base pay is determined by candidates' skills, expertise, and experience. In the United States, the current base pay ranges for new hires 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 bonuses, commissions, equity, and other benefits. Please confirm the pay zone for your specific location with your recruiter.

Benefits & Perks

• Health coverage
• Paid volunteer days
• Wellness resources
• Other perks to support you and your family