Staff Machine Learning Engineer

About the Position

Staff Machine Learning Engineer

San Francisco, CA

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Atoms is building the machines that power the next era of progress. We are transforming the physical world with Physical AI-real-world robots for industries like food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, making complex physical operations more reliable, scalable, and productive.

We are seeking a visionary Machine Learning Engineer to join our founding team and bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms.

Responsibilities

• Research and develop cutting-edge RL and distillation techniques for trajectory planning
• Integrate emerging research from the broader AI community, identifying and prototyping the most promising solutions
• Design and deploy end-to-end multimodal models that translate real-time visual perception and high-level behavioral goals into physical vehicle actuation
• Develop interactive world models from raw multi-sensor logs, allowing the team to re-simulate events and query what a vehicle would see if it altered its trajectory
• Ensure core autonomous driving models can seamlessly adapt to novel urban environments and edge cases
• Partner with validation and QA teams to run model releases through rigorous simulated scenarios, detecting regressions and identifying systemic performance bottlenecks.

Requirements

• 10+ years of non-internship professional MLE experience.
• Deep expertise in applying AI Transformers to robotics, physical actuation, or spatial-temporal data.
• Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models.
• Strong background in Sensor Fusion, combining inputs from Cameras, LiDAR, and Radar.
• Fluency in PyTorch or JAX for training large-scale models.
• Experience with multi-task learning, Birds-Eye-View (BEV) frameworks, representation learning, or data tokenization is highly preferred.
• Proficiency in Python and familiarity with C++.

We Offer

• Competitive salary range: $273,000 - $345,000 per year
• Comprehensive benefits package including Medical, Dental, Vision, Disability, and Life Insurance
• Flexible Spending Account / Health Savings Account Options
• 401(k) plan
• Equity awards
• Sick Time, Unlimited Flexible Time Off, and Paid Holidays
• Paid Parental Leave
• Pre-Tax Commuter Benefit Plan
• Team lunch in our SoMa office every Tuesday and Thursday

About the Company

At Atoms, you’ll work on one of the defining challenges of our time - bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.

Why Join Us

This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.

The base salary range for this role is $273,000 - $345,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards.

Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

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