Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
Loading job details
Machine Learning Engineer — Robotics Perception & Control
- Type
- Full time
- Posted
- 1Y AGO
About the role
About the Role
We’re building production-grade robotic systems that operate in some of the most challenging industrial environments. As a Machine Learning Engineer focused on perception and control, you’ll develop the end-to-end ML systems that enable robots to understand complex environments, localize weld paths, and execute precise manipulation tasks in the real world.
This is an applied, hands-on robotics ML role — your work will ship to the field quickly and directly impact system performance and reliability.
What You’ll Work On
About the Role
We’re building the intelligence layer that enables next-generation robots to perform complex, high-precision tasks autonomously in real industrial environments. As a Senior Deep Learning Engineer, you’ll design the models and algorithms that drive weld path planning, adaptive control, and automated quality inspection.
This role blends deep learning, advanced computer vision, robotics fundamentals, and reasoning-driven decision systems. You’ll work across perception, simulation, planning, and adaptive control to push the boundaries of what autonomous robots can do.
What You’ll Work On
We’re building production-grade robotic systems that operate in some of the most challenging industrial environments. As a Machine Learning Engineer focused on perception and control, you’ll develop the end-to-end ML systems that enable robots to understand complex environments, localize weld paths, and execute precise manipulation tasks in the real world.
This is an applied, hands-on robotics ML role — your work will ship to the field quickly and directly impact system performance and reliability.
What You’ll Work On
- Build real-time perception systems for identifying seams, joints, obstacles, and geometric features in cluttered industrial settings
- Develop robotic manipulation controllers, including trajectory generation, tool control, and adaptive servoing
- Own production ML pipelines, including training, optimization, deployment, monitoring, and iterative improvement
- Debug and integrate with physical hardware: cameras, depth sensors, calibration systems, and industrial robot arms
- Collaborate closely with robotics, controls, and integration teams to ensure robust performance in dynamic environments
- Deploy and test ML models in the field with real operators and real constraints
- 3–7+ years building ML systems deployed in robotics, autonomous systems, industrial automation, or real-world environments
- Strong experience with PyTorch or TensorFlow, real-time inference optimization, and classical CV tooling
- Hands-on experience with robot arms (Fanuc, ABB, UR, KUKA, etc.) and hardware-software integration
- Strong background in computer vision: detection, segmentation, depth estimation, spatial reasoning
- Comfort working with field hardware — sensors, calibration, debugging, failure analysis
- Bonus: ROS/ROS2, SLAM, 3D reconstruction, force/torque sensing, or previous industrial robotics exposure
- Bonus: Experience in manufacturing, welding, or other precision industrial tasks
- Your models run in live customer environments, not just labs
- Huge opportunity to shape the perception + control stack of a frontier robotics platform
- Immediate, visible impact — robots that act differently because of your code
About the Role
We’re building the intelligence layer that enables next-generation robots to perform complex, high-precision tasks autonomously in real industrial environments. As a Senior Deep Learning Engineer, you’ll design the models and algorithms that drive weld path planning, adaptive control, and automated quality inspection.
This role blends deep learning, advanced computer vision, robotics fundamentals, and reasoning-driven decision systems. You’ll work across perception, simulation, planning, and adaptive control to push the boundaries of what autonomous robots can do.
What You’ll Work On
- Develop weld path planning models that interpret engineering drawings, 3D scans, and perception data to generate optimized trajectories
- Build adaptive welding control systems that adjust parameters in real time using visual, thermal, and force-sensor feedback
- Create automated quality inspection systems using CV, thermal analysis, sensor fusion, and structured light
- Develop sim-to-real pipelines for training, evaluation, and behavior transfer
- Work closely with robotics, hardware, and field teams to refine performance using real-world data
- Own core pieces of the autonomy and intelligence stack, from modeling to deployment
- 4–8+ years experience building and deploying ML or robotics systems
- Deep expertise in computer vision and deep learning, including generative models, perception pipelines, or multimodal modeling
- Strong grounding in robotics fundamentals — kinematics, motion planning, control, trajectory optimization
- Experience building ML systems that solve real-world problems, not only academic datasets
- Bonus: simulation frameworks (Isaac Sim, Gazebo, PyBullet), 3D geometry, digital twins
- Bonus: manufacturing automation, quality inspection, welding/industrial processes
- Bonus: Publications or strong applied research experience (ICRA, CoRL, RSS, CVPR, NeurIPS, etc.)
- You’re building the intelligence layer, not just perception
- Direct impact on autonomy capabilities used in high-value industrial applications
- Significant technical ownership + greenfield modeling opportunities
- Work spans modeling, simulation, planning, and real-world field integration
Similar roles
Machine Learning Engineer IVAvalara · Remote
Principal Machine Learning Engineer I** Hybrid in Horsham, PA or Remote EST PreferredLexisNexis · Raleigh
Senior Software EngineerCognite · Bengaluru
Founding Engineer (AI + Backend) - Remote, IndiaOpenbenchmarks · Remote
Robotics Systems Engineer INASA Jet Propulsion Laboratory
Onsite Service Engineer - AI Data CenterDell Technologies · Chennai