Machine Learning Engineer - Perception

Who we are

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.

About the role

As a Senior Staff Machine Learning Engineer focused on Perception, you will be one of the foundational technical leaders of Atoms' AI organization. You will help define how our machines transform raw sensor data into rich representations of the physical world. You'll work across camera, LiDAR, radar, audio, and other sensor modalities to build perception systems capable of operating in complex, dynamic real-world environments.

This is not simply a role focused on improving an existing perception stack. You will have the opportunity to help determine what that stack should become. You will work closely with AI research, robotics, autonomy, and engineering leaders to develop perception architectures that connect traditional perception capabilities with emerging approaches in world models and foundation models for physical AI.

This is a deeply technical individual contributor role with significant influence over Atoms' technical direction.

What you'll do

• Define and help build the technical architecture for Atoms' next-generation perception systems.
• Develop machine learning systems that transform multimodal sensor inputs—including camera, LiDAR, radar, audio, and other signals—into useful representations of the physical environment.
• Advance approaches to multi-sensor and multimodal fusion across complex real-world operating environments.
• Design and develop deep learning architectures for problems such as detection, segmentation, tracking, classification, scene understanding, and 3D perception.
• Explore how modern foundation models and world models can complement or replace components of traditional perception pipelines.
• Build perception systems designed to serve downstream reasoning, planning, and action models.
• Make architectural decisions spanning data, model design, training, evaluation, inference, and deployment.
• Develop systems that balance model quality with the latency, efficiency, reliability, and compute constraints required for real-world machines.
• Establish evaluation methodologies and metrics that accurately measure perception performance in the environments where our systems operate.
• Partner closely with researchers and engineers working across world models, action models, robotics, autonomy, and ML infrastructure.
• Provide technical leadership across the organization through architecture reviews, mentorship, technical direction, and hands‑on engineering.
• Help establish the technical bar for the growing perception organization and participate in identifying and assessing…