Robotics Vision AI Engineer

Skild AI Inc.; San Mateo (CA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Skild AI Inc. seeks a Computer Vision AI & ML Engineer to design, build, and deploy perception systems for real-world robotics.

You will work across the full ML lifecycle—from model development and data strategy to evaluation and production integration—driving high-performance vision capabilities in dynamic environments. The role blends applied research with hands-on engineering, influencing architecture and roadmap decisions while collaborating with robotics, simulation, and systems teams to

Qualifications

• Experience with deep learning models for perception tasks (detection, depth, segmentation).
• Strong Python proficiency and ML lifecycle exposure.
• Familiarity with robotics or real-time systems is a plus.

Responsabilités

• Develop and optimize deep learning models for depth estimation, detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
• Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
• Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
• Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
• Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.
• Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.

Connaissances

PyTorch

TensorFlow

Python

3D perception

Uncertainty modeling

Outils

Isaac Sim

Gazebo

Blender

Description du poste

Skild AI Inc. seeks a Computer Vision AI & ML Engineer to design, build, and deploy perception systems for real-world robotics.

You will work across the full ML lifecycle—from model development and data strategy to evaluation and production integration—driving high-performance vision capabilities in dynamic environments. The role blends applied research with hands-on engineering, influencing architecture and roadmap decisions while collaborating with robotics, simulation, and systems teams to