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Develop and optimize end-to-end multimodal AI models for autonomous transport platforms, bridging the gap between research and physical actuation. Responsibilities include designing world models, optimizing inference for edge hardware, and architecting data pipelines for long-tail scenario detection.
Requires 4+ years of professional MLE experience with deep expertise in Transformers, robotics, or spatial-temporal data. Proficiency in PyTorch/JAX and Python/C++ is essential, along with experience in sensor fusion or model deployment on embedded GPUs.
Atoms is building the machines that power the next era of progress.
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.
What we’re seeking
A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. We are actively hiring across three core specialized subcategories: AI Research, Post-Training Optimization, and Data Engineering.
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.
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 $208,000 - $263,500
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 and an annual performance-based bonus.
Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.
Atoms builds physical automation to transform industry and move the world. Everything in our civilization is mined, grown, manufactured, and moved. Atoms develops the robotics, software, and infrastructure that automate these physical systems. Atoms Food: Infrastructure for better food. Atoms Mining: More productive mines to power Earth’s industries. Atoms Transport: Wheelbase for robots. Together, these systems form a new class of computation for the real world - machines that sense, predict, and act in physical environments to make industry more productive, reliable, and scalable. Atoms build the progress machines that power the next era of human advancement.
Offices: Los Angeles, US · 633 W 5th St, Los Angeles, California 90071, US
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