Ouster · 14 hours ago
Sr. Machine Learning Engineer (Perception and Tracking)
San Francisco, CA
Full-time
Onsite
Senior Level
$180K/yr - $220K/yr
5+ years expOuster is a company that builds sensors and tools for engineers, roboticists, and researchers to enhance safety and efficiency. They are seeking a highly technical Machine Learning Engineer to lead efforts in Object Detection and Tracking, focusing on architecting deep neural networks and optimizing systems for real-time performance.
Autonomous VehiclesElectronicsIndustrial AutomationManufacturingRoboticsSensor
Responsibilities
Architect Unified Models: Design and train DNN models that perform Object Detection and Tracking simultaneously, leveraging temporal information to improve consistency
Research to Production: Evaluate state-of-the-art research papers and prototype these concepts (turning papers into code) and adapt them into robust, production-grade solutions
Deep Model Customization: Go beyond standard libraries by implementing custom loss functions, modifying internal model architectures, and designing specific data augmentation strategies to squeeze out maximum performance
Edge Optimization: Ensure high accuracy is matched by high efficiency. Optimize models for real-time inference and on-device deployment
Data Strategy: Develop training recipes for data-constrained environments and effective post-training strategies
Qualification
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 (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow)
Proven experience not being dependent on 'out-of-the-box' APIs. You have a track record of modifying model architectures via extensive experimentation to meet specific requirements
Experience improving model generalization with limited data using Transfer Learning, Domain Adaptation, or Few-Shot Learning
Strong grasp of linear algebra and probability as it applies to custom loss function design and geometric 3D vision
Preferred
Hands-on experience with 3D Point Cloud data (LiDAR) is a massive plus
Experience with TensorRT, ONNX Runtime, or edge-specific hardware (NVIDIA Jetson, etc.)
Benefits
Equity & benefits
Company
Ouster
Ouster builds high-resolution digital lidar sensors for industrial automation, smart infrastructure, robotics, and automotive.
201-500 employees
H1B Sponsorship
Ouster has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (18)
2023 (4)
2022 (7)
2021 (8)
2020 (6)
Funding
Current Stage
Public CompanyTotal Funding
$282MKey Investors
Runway Growth CapitalCox Enterprises
2022-05-20Post Ipo Debt· $50M
2021-03-12Post Ipo Equity· $100M
2021-03-12IPO
Leadership Team
Angus Pacala
Cofounder, CEO
Eric Younge
Co-Founder, Principal Engineer
Recent News
2026-02-05
2026-01-11
2026-01-08
Company data provided by crunchbase