July 25
🏡 Remote – Anywhere in California
• Build foundational model for vision language and action that can exhibit good reasoning and maneuvering capability. Understands transformer based ML architecture really well. • Design, train and deploy learning-based perception models for on-robot perception systems. Perception models should be able to do multi-modal learning capturing different semantics such as segmentation, object detection, scene understanding and tracking. • Work with ML infrastructure engineers to assess and monitor model performance, analyze and resolve performance bottlenecks. • Collaborate with various teams to understand real-world problems and define tasks, incorporating insights into ML products. • Produce high-quality code for software development, participate in code reviews to ensure the quality of code, and share knowledge with the team. • Comfortable working with sql queries and ETL logic for data ingress.
• Ms/PhD in Computer Science with minimum 5 years of industry experience with focus in ML/DL, Robotics, similar technical field of study, or equivalent practical experience • Minimum 2 years of industry experience with training & shipping ML models into production and tracking its lifecycle maintenance process. • Deep understanding of computer vision, machine learning and deep learning basic concepts. • Strong C++ and Python programming skills for efficient and robust code. • Experience with multiple sensors such as Lidar, Mono/Stereo cameras, IMU, etc. • Strong communication skills.
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