5 days ago
Base Salary
$275k - $321k/yr
Responsibilities
- Define and build the technical architecture for next-generation perception systems.
- Develop machine learning systems that convert camera, LiDAR, radar, audio, and other sensor inputs into representations of the physical environment.
- Advance multi-sensor and multimodal fusion for complex real-world environments.
- Design deep-learning architectures for detection, segmentation, tracking, classification, scene understanding, and 3D perception.
- Explore the use of foundation models and world models in traditional perception pipelines.
- Build perception systems supporting downstream reasoning, planning, and action models.
- Make architecture decisions across data, model design, training, evaluation, inference, and deployment.
- Balance model quality with latency, efficiency, reliability, and compute constraints.
- Establish perception evaluation methodologies and performance metrics.
- Provide technical leadership through architecture reviews, mentorship, technical direction, and hands-on engineering.
- Partner with teams across world models, action models, robotics, autonomy, and ML infrastructure.
- Help establish the technical bar and assess engineering and research 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 visual or multimodal perception.
- Experience with real-world sensor modalities such as cameras, LiDAR, radar, audio, or depth sensors.
- Experience with sensor fusion, multimodal learning, 3D perception, scene understanding, or related areas.
- Strong understanding of the full ML lifecycle, including data strategy, training, architecture, evaluation, optimization, and deployment.
- Experience designing ML systems subject to real-world latency, compute, reliability, and safety constraints.
- Strong software engineering fundamentals and hands-on ability in Python and/or C++.
- Demonstrated ability to make consequential technical and architectural decisions in ambiguous problem spaces.
- Track record of technical leadership and influence beyond immediate projects or teams.
- Ability to communicate complex technical ideas clearly and collaborate across research and engineering disciplines.
Benefits
- Medical, dental, vision, disability, and life insurance.
- Flexible Spending Account and Health Savings Account options.
- 401(k), equity eligibility, sick time, unlimited flexible time off, and paid holidays.
- Paid parental leave and a pre-tax commuter benefit plan.
- Team lunch in the SoMa office every Tuesday and Thursday.
- Based in San Francisco with onsite work five days per week for office-based teams.
Categories
ML EngineeringRobotics
About Atoms
Atoms develops robotics, software, and infrastructure to automate real-world industrial operations, with offerings focused on food production, mining, and robotic transport platforms. It sells integrated automation systems and platforms—Atoms Food, Atoms Mining, and a transport wheelbase for robots—to industrial customers seeking greater productivity and scalability. The privately held company is headquartered in Los Angeles.