AI / Computer Vision Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design comprehensive computer vision pipelines aimed at real-world safety detection, encompassing object detection, tracking, semantic segmentation, multi-camera fusion, and more.

• Lead the technical strategy for edge and cloud perception, focusing on the optimization and deployment of models on constrained hardware without compromising accuracy.

• Collaborate closely with our hardware and firmware teams; since we manufacture our own devices, you will have a unique opportunity to co-design the entire stack.

• Utilize petabyte-scale multimodal data (including video, sensor inputs, telematics, and diagnostics) to train and refine production models.

• Remain at the forefront of computer vision and perception research, converting significant insights into deliverable products.

• Provide mentorship and technical guidance to senior scientists and engineers within the team.

• Clarify complex problems by translating customer and business requirements into specific, actionable engineering challenges.

⛳️ Requirements

• Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a closely related quantitative discipline.

• Over 10 years of experience as a scientist or machine learning engineer, with a background in leading end-to-end AI systems in production environments.

• In-depth knowledge of computer vision techniques (such as object detection, tracking, and segmentation) applicable to real-world settings.

• Proficient in multimodal perception and sensor fusion technologies (including camera, lidar, radar, GPS/IMU).

• Familiarity with transformer-based architectures and vision-language models (VLMs/VLAs).

• Experience in constructing and deploying real-time or edge machine learning systems optimized for low-latency inference.

• Proven track record of guiding systems from research phases to production deployment, including performance enhancements and scalability reliability.

🏝️ Benefits

• Flexible, employee-led remote work model.

• Stipend for professional development.

• Comprehensive health benefits and parental leave policies.

• Initial RSU grant with no vesting cliff.

• Ongoing refresh opportunities linked to performance.