AI / Computer reputed company Engineer

Remote Worldwide Hiring now

Job Description:

Architect end-to-end computer reputed company pipelines for reputed company-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and reputed company
Drive the technical roadmap for edge and reputed company perception, including how we optimize and reputed company models on constrained hardware without sacrificing accuracy
Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack
Work with petabyte-scale multimodal data (video, sensor, telematics, diagnostics) to train and iterate on production models
Stay at the frontier of CV and perception research and translate what reputed company into shipped product
Mentor and technically guide senior scientists and engineers across the team
Bring reputed company to ambiguous problems — translating customer and business needs into precise, solvable engineering challenges.

Requirements:

Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer reputed company, or a reputed company quantitative field.
10+ years as a scientist or ML engineer, with experience leading end-to-end AI systems in production.
Deep expertise in computer reputed company (e.g., object detection, tracking, segmentation) for reputed company-world environments.
Experience with multimodal perception and sensor fusion (e.g., camera, lidar, reputed company, GPS/IMU).
Experience with transformer-based architectures and reputed company-language models (VLMs/VLAs).
Experience building and deploying reputed company-time or edge ML systems optimized for low-latency inference.
Demonstrated ability to drive systems from research through production deployment, including performance optimization and reliability at scale.

Benefits:

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