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About the Role
As a Senior Staff Machine Learning Engineer focused on Perception, you will be a foundational technical leader in Atoms' AI organization, defining how machines transform raw sensor data into rich representations of the physical world. You will work across multiple sensor modalities to build perception systems for complex, dynamic real-world environments and influence the future of our perception stack by integrating traditional capabilities with emerging world and foundation models.
Responsibilities
- Define and help build the technical architecture for Atoms' next-generation perception systems.
- Develop machine learning systems that transform multimodal sensor inputs 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 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.
- Partner closely with researchers and engineers working across world models, action models, robotics, autonomy, and ML infrastructure.
- Provide technical leadership 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 talent.
Requirements
- Deep expertise in machine learning and computer vision, with substantial experience building sophisticated perception systems.
- Strong understanding of modern deep learning architectures and their application to visual and multimodal perception.
- Experience working with one or more real-world sensor modalities such as cameras, LiDAR, radar, audio, depth sensors, or related systems.
- Experience with sensor fusion, multimodal learning, 3D perception, scene understanding, or related areas.
- Strong understanding of the full ML lifecycle, including data strategy, training, model architecture, evaluation, optimization, and deployment.
- Experience designing ML systems that operate under real-world latency, compute, reliability, and safety constraints.
- Strong software engineering fundamentals and the ability to remain deeply hands-on in Python and/or C++.
- Demonstrated ability to make consequential technical and architectural decisions in ambiguous problem spaces.
- A track record of technical leadership and influencing engineering direction beyond your immediate projects or team.
- Ability to communicate complex technical ideas clearly and collaborate across research and engineering disciplines.
Skills
- Machine Learning
- Computer Vision
- Deep Learning
- Perception Systems
- Sensor Fusion
- Multimodal Learning
- 3D Perception
- Scene Understanding
- ML Lifecycle Management
- Python
- C++
Location
- San Francisco
Work Type
- Onsite
Experience Level
- Senior Staff
Salary/Compensations
- $275,000 - $321,000 per year
Benefits
- Medical, Dental, Vision, Disability, and Life Insurance
- Flexible Spending Account / Health Savings Account Options
- 401(k)
- Equity
- 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
- Atoms is building the machines that power the next era of progress.
- We build 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 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.