about 3 hours ago
San Mateo, CA, USAMid Level / Senior
H1B Sponsor
Responsibilities
- Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding.
- Build scalable pipelines for data processing, training, evaluation, and deployment into real-world systems.
- Design labeling strategies and tooling for automated annotation and dataset management.
- Implement monitoring and reliability frameworks, including uncertainty estimation and automated performance reporting.
- Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques.
- Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines.
Requirements
- Strong experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Background in computer vision tasks like detection, depth estimation, and segmentation.
- Proficiency in Python; familiarity with C++ is a plus.
- Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
- Knowledge of 3D geometry, sensor processing, or multi-sensor fusion.
- Experience with data annotation tools and dataset management techniques.
- Familiarity with robotics and simulation environments.
- Understanding of uncertainty modeling and ML monitoring practices.