Samsara19.05.2026
Sr Staff / Staff Applied Scientist
Remote - US
Обязанности
- 01Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond
- 02Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy
- 03Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack
- 04Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models
- 05Stay at the frontier of CV and perception research and translate what matters into shipped product
- 06Mentor and technically guide senior scientists and engineers across the team
- 07Bring clarity to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges
- 08Champion, role model, and embed Samsara’s cultural principles as we scale globally and across new offices
Требования
- 01Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field
- 0210+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production
- 03Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments
- 04Experience with multimodal perception and sensor fusion (e.g., camera, lidar, radar, GPS/IMU)
- 05Experience with transformer-based architectures and vision-language models (VLMs/VLAs)
- 06Experience building and deploying real-time or edge ML systems optimized for low-latency inference
- 07Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale
Условия
- 01This is a remote position open to candidates residing in the US
- 02Annual Base Salary $20
- 03This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance