Atoms
Senior Machine Learning Engineer
San Francisco, CA · Senior · Full-time
Sponsorship not specified$208k-$264kDetected 25 days ago
PythonData StructuresMachine LearningDeep LearningPyTorchData EngineeringNLPRoboticsSensorsResearch
About the role
- Over the last decade, software has transformed the digital world.
- But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained.
- It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate.
Responsibilities
- Research and develop cutting edge RL and distillation techniques for trajectory planning
- 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
- Partner with validation and QA teams to run model releases through rigorous simulated scenarios, detecting regressions and identifying systemic performance bottlenecks.
- Own the post-training lifecycle by distilling, quantizing, and optimizing massive models to run with low latency on vehicle edge hardware.
- Atoms is building the machines that power the next era of progress.
- Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport.
- Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
- We don't just build machines in a lab.
- 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.
Requirements
- 4+ 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.
- Proficiency in Python and familiarity with C++.
- Experience processing and structuring raw data from Cameras, LiDAR, and Radar.
- Expert-level proficiency in Python, data engineering frameworks, and PyTorch/JAX.
- Exceptional ability to navigate, structure, and derive signal from highly ambiguous, messy, or undefined real-world data distributions.
Nice to have
- Familiarity with low-level camera/sensor interfaces and robotics hardware is a significant plus.
Compensation
- The base salary range for this role is $208,000 - $263,500
Benefits
- Base salary is just one part of your total rewards package.
- You may also be eligible for equity awards and an annual performance-based bonus.
- Benefits Summary (USA Full-Time Exempt Employees):
- Medical, Dental, Vision, Disability, and Life Insurance
- Flexible Spending Account / Health Savings Account Options
Company info
- Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We're changing that.
- Atoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
- This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don't just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
- We are roboticists, engineers, operators, and builders.
- We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
- If you want to work on hard problems with real-world impact, join us.
- We're changing that.
- This work requires more than robotics.
This listing is sourced directly from Atoms's careers page and normalized into a canonical job model.