5 hours ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$208k - $245k/yr
Responsibilities
- Design, train, and deploy machine learning models for perception in autonomous systems.
- Develop object detection, classification, segmentation, tracking, scene understanding, 3D perception, and geometric reasoning algorithms.
- Build multi-sensor and multi-modal fusion systems using cameras, LiDAR, radar, IMU, and other sensors.
- Develop temporal models for reasoning about objects, motion, trajectories, and environmental changes.
- Create data, training, evaluation, and experimentation pipelines for perception development.
- Define evaluation metrics connecting offline model performance to real-world system behavior.
- Optimize perception systems for latency, compute, memory, and power constraints on robotic platforms.
- Diagnose failures in deployed systems and improve models, data, and architecture.
- Collaborate with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams.
Requirements
- 3-5 years of relevant experience working with perception systems and computer vision and machine learning models.
- Strong software engineering skills in Python and/or C++.
- Experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems.
- Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
- Experience with multi-modal or multi-sensor architectures.
- Knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation.
- Experience deploying machine learning models into real-time or safety-critical systems.
- Experience optimizing models for latency, compute, memory, or power constraints.
- Experience with large-scale perception datasets and training infrastructure.
- Experience diagnosing long-tail failures and improving production perception systems through data-driven iteration.
- Experience taking research ideas from experimentation through deployment on physical systems.
- Publications or significant research contributions in computer vision, machine learning, robotics, or related fields are preferred but not required.
Benefits
- Medical, dental, vision, disability, and life insurance.
- Flexible Spending Account and Health Savings Account options.
- 401(k) and equity eligibility.
- Sick time, unlimited flexible time off, and paid holidays.
- Paid parental leave.
- Pre-tax commuter benefit plan.
- Team lunch in the SoMa office every Tuesday and Thursday.
- Based in the San Francisco office and requires onsite work five days per week.
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.