Skild AI
Computer Vision AI & ML Engineer
San Mateo, CA
Sponsorship not specifiedDetected 49 days ago
PythonC++AlgorithmsMachine LearningDeep LearningTensorFlowPyTorchComputer VisionMLOpsRoboticsSensorsBlenderResearch
About the role
- We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.
- Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts.
- This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.
Responsibilities
- 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.
- Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.
- At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing.
Nice to have
- Proficiency in Python
- familiarity with C++ is a plus.
- Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
- Experience with data annotation tools, dataset management, and augmentation techniques.
- Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.
- Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.
Benefits
- We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation.
- You will work across the full machine learning lifecycle-model development, data strategy, evaluation, and production integration-to deliver robust, high-performance vision capabilities.
- Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Company info
- We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
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