Job
Description
As an AI/ML Engineer (Robotics Research), you will be involved in building the intelligence of the robot, end-to-end. You will focus on leveraging machine learning to marry multi-sensor perception, model prediction and robotic actuation. You will come up with innovative methods / pipelines, bootstrap them in simulation and deploy them to control real robot behavior. You will come-up with novel ways to engineer, capture data and train models using various sources including real-world behaviors, active planning, feedback-based control, demonstration-based learning, simulation and transfer learning, and real-world adaptation. Your everyday activities shall include: Innovate to come up with smart, new methodologies in robotic perception and control Play a key role in end-to-end AI/ML system architecture design Theoretical research and hands-on implementation of new AI models, benchmarking and iterating them Building Computer Vision modules for robotics applications Explore and Identify suitable SOTA models, test/benchmark them for our applications, modify / fine-tune / improve them Build model pre-processing and post-processing pipelines in Python / C/C++ Optimize the stack for real-time execution with focus on efficient programming and faster execution times Prototyping & testing concepts, ideas & hypotheses Testing various schemas in perception, planning, manipulation & control Testing & deploying production ready software Skills & Requirements: Experience Requirements: Overall experience ranging from 4 to 8 years in software development. At least 4 years of industry experience as an FTE in building, training and testing AI/ML models and Computer Vision applications Experience building end-to-end system architecture with focus on execution speed and efficiency Bachelors in computer science / Electrical / Electronics / Communications Engineering Masters / PhD in fields related to Computer Vision / Robotics / AI is an added advantage Technical skill Requirements Excellent understanding of architectures in AI, including Transformers, CNNs, RL, Diffusion Policies, Behavioral Cloning, Vision-Action models, VLMs etc. along with their respective applications Hands-on with computer vision with strong focus on building edge-deployable high-framerate systems Strong coding skills in Python and C/C++ and experience with PyTorch/Tensorflow Prior experience in robotic applications is an added advantage Experience with GPU optimization for edge-deployable applications is a big plus Strong aptitude towards debugging and root-cause analysis Strong intuition for relevant math & physics, coordinate geometry, trigonometry, calculus, linear algebra Good understanding of state-of-the-art robotics research Good theoretical / mathematical understanding of robotic manipulators (Forward & Inverse kinematics, Jacobian, DH representations, path planning, control schema, etc.) is an added advantage. Soft skill Requirements Passionate about Robotics & AI. Be resourceful and creative about getting things done with a sense of urgency. Go-getter attitude Experience in building / guiding a team will be an added advantage
