Staff Machine Learning Engineer - Perception

Atoms•San Francisco, CA

2d•$275,000 - $321,000•Onsite

About The Position

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.

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.

Responsibilities

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 exceptional engineering and research talent.