Applied Scientist

🚀 Now Hiring: Staff Applied Scientist – AI & Robotics 📍 Location: Mountain View, California, USA (94043) 🏢 Work Model: 100% On-site 📅 Duration: 12 Months Contract We are seeking a Staff Applied Scientist – AI & Robotics to join a cutting-edge team working on advanced robotics, embodied AI, and robot learning systems. This role is ideal for professionals passionate about building intelligent robotic systems using modern AI architectures and large-scale machine learning models. 🔹 Key Responsibilities • Design and implement advanced robot learning architectures such as diffusion policies, imitation learning, ACT, and VLM/VLA-guided agents. • Develop end-to-end policy training pipelines integrating multimodal sensory inputs including RGB, depth, LiDAR, tactile data, and proprioception. • Build closed-loop control systems connecting perception, planning, and execution on real robotic hardware. • Apply and extend LLMs, VLM/VLAs, diffusion models, and transformer-based architectures to embodied AI tasks. • Deploy and optimize robot policies on real-world robotic platforms ensuring robustness, repeatability, and safety. • Lead data strategy for demonstrations, teleoperation, and simulation pipelines to train manipulation policies. • Collaborate with cross-functional teams to drive robotics research into production environments. • Stay up to date with latest research in robotics and embodied AI, sharing insights with the team. 🔹 Must-Have Skills • Strong programming experience with Python • Expertise in Artificial Intelligence, Machine Learning, and Robotics • Hands-on experience with PyTorch, including custom module development and optimization • Experience with ROS / ROS2 integration in robotics workflows • Knowledge of modern AI architectures such as Transformers, Diffusion Models, CNNs, VLM/VLAs, and LLMs • Experience building and deploying ML models on robotic systems in simulation or real-world environments • Familiarity with Robotic Process Automation (Automation Anywhere) 🎓 Education Requirement • PhD in a relevant STEM field • OR • Master’s with strong industry experience in robotics, robot learning, or embodied AI 📋 Pre-Screening Question Please include the answer on the candidate coversheet: Have you worked in robotics, robot learning, or embodied AI domain? 💡 Interview Process • 3 Interview Rounds • End Client Interview Included • Candidates with valid US work authorization or visa are welcome to apply.