Senior Computer Vision AI & ML Engineer

Wintermeyer Ventures; San Mateo (CA); Sur place; USD 150 000 - 300 000; Plein temps

Résumé du poste

Wintermeyer Ventures in San Mateo, CA, is seeking a hands-on computer vision engineer to advance perception systems for robotics. You will take depth estimation, 3D scene understanding, and tracking models from research through deployment in real systems and help shape the perception architecture and roadmaps.

You will collaborate with robotics, systems, and simulation teams to bring successful approaches into production, using RGB-D, LiDAR, and stereo data, and own model performance in

Qualifications

• 3–10 years of experience in computer vision with recent core focus
• Bachelor's or Master's degree in CS or related field; 3D perception research a plus
• Hands-on 3D vision experience: depth, 3D scene understanding, detection or tracking
• Experience training and deploying vision models in production
• Cross-functional project delivery across hardware/software teams

Responsabilités

• Develop and optimize models for depth, detection, segmentation, tracking, and 3D scene understanding
• Build scalable data/training/evaluation/deployment pipelines for real-time robotics
• Design annotation strategies and tools for automated labeling and dataset curation
• Implement monitoring and reliability frameworks including uncertainty and performance reporting
• Test perception techniques with robotics, systems, and simulation teams for production deployment

Connaissances

Computer vision

3D vision

Model deployment

Cross-functional projects

3D geometry

Sensor fusion

PyTorch / TensorFlow / JAX

Python

C++

Annotation tools

Dataset curation

Data augmentation

Formation

Bachelor's or Master's in Computer Science or related field

3D perception research or thesis

Outils

PyTorch

TensorFlow

JAX

Description du poste

Join a robotics AI team building perception systems that help robots understand and navigate physical environments. You will take computer vision models from research through deployment and help shape the perception architecture and roadmap.

What You'll Do

• Develop and optimize models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using RGB-D, LiDAR, and stereo data.
• Build scalable data processing, training, evaluation, and deployment pipelines for real-time robotic systems.
• Design annotation strategies and tools for automated labeling, quality assurance, dataset curation, augmentation, and versioning.
• Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
• Test new perception techniques and work with robotics, systems, and simulation teams to bring successful approaches into production.

What We're Looking For

• 3 to 10 years of experience in computer vision, with vision as a core responsibility in recent roles.
• A bachelor's or master's degree in computer science or a related field; 3D perception research or thesis work is a plus.
• Hands-on 3D vision experience in areas such as depth estimation, 3D scene understanding, detection, segmentation, or tracking.
• Experience training and deploying vision models and owning their performance in production, preferably on robotic or other hardware systems.
• Experience driving cross-functional projects across hardware and software teams, ideally at a robotics, autonomous vehicle, AR/VR, or IoT startup.
• Knowledge of 3D geometry and sensor processing or multi-sensor fusion, with experience using PyTorch, TensorFlow, or JAX.
• Proficiency in Python; familiarity with C++ is a plus. Experience with annotation tools, dataset curation, versioning, or augmentation pipelines is also valuable.

Base salary: $150,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Mateo, California, United States.