Sr. Machine Learning Engineer (Perception and Tracking)
$180k/y-$220k/y
Oustera day ago
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OnsiteFull-timeSenior
Summary
Ouster is seeking a Sr. Machine Learning Engineer (Perception and Tracking) to join their team in San Francisco, CA. The role involves leading efforts in Object Detection and Tracking by architecting deep neural networks and optimizing systems for real-time performance.
About the Role
As a Sr. Machine Learning Engineer, you will design and train deep neural network models for Object Detection and Tracking, evaluate and prototype state-of-the-art research, customize models beyond standard libraries, optimize for real-time inference, and develop training strategies for data-constrained environments.
About You
Required:
- 5+ years proficiency in Python and PyTorch.
- 3+ years proficiency in C++ for production deployment and optimization.
- Deep theoretical and practical understanding of modern object detectors and tracking algorithms.
- Proven experience modifying model architectures through extensive experimentation.
- Experience improving model generalization with limited data using Transfer Learning or similar techniques.
- Strong grasp of linear algebra and probability as it applies to custom loss function design.
Preferred:
- Hands-on experience with 3D Point Cloud data (LiDAR).
- Experience with TensorRT, ONNX Runtime, or edge-specific hardware.
Benefits
- Base pay dependent on skills, work experience, location, and qualifications.
- Potential eligibility for equity and benefits.
Ouster
Ouster (Nasdaq: OUST) is a leading global provider of high-resolution scanning and solid-state lidar sensors and software solutions for the automotive, industrial, robotics, and smart infrastructure industries. Ouster is on a mission to build a safer and more sustainable future by offering affordable, high-performance sensors that drive mass adoption across a wide variety of applications. Ouster is headquartered in San Francisco, CA, with offices in the Americas, Europe, and Asia-Pacific.
San Francisco, CA