Research Engineer (AI/Robotics)

Company Description Romoya Inc. is an early-stage robotics startup focused on building next-generation Embodied AI systems and intelligent robotic platforms for real-world applications. Founded by seasoned entrepreneurs, top executives, and technical leaders from publicly listed AI and technology companies, Romoya brings together deep experience in frontier AI research, robotics engineering, product development, and company building. Our founding team combines strong academic research backgrounds with hands‑on industry experience, and includes researchers, engineers, and entrepreneurs from Stanford, UCSD, UCLA, NUS, Microsoft, and other world‑class institutions and companies. Backed by top investors, Romoya is building a high‑impact team at the frontier of Embodied AI, robotics, and foundation models for physical intelligence. Role Description Romoya is hiring full‑time employees and interns to work closely with the founding and technical leadership teams on cutting‑edge Embodied AI and robotics systems. These roles offer opportunities to work on real robotic platforms, develop advanced AI models, and contribute directly to the development of intelligent systems that can perceive, reason, learn, and act in the physical world. Openings Embodied AI / Imitation Learning We are seeking candidates interested in imitation learning, behavior cloning, learning from demonstrations, teleoperation data, human videos, Vision‑Language‑Action models, and generalizable robot policies. This role focuses on enabling robots to acquire complex skills from expert demonstrations and multimodal data. Embodied AI / Reinforcement Learning We are looking for candidates with experience in reinforcement learning, robot learning, policy optimization, offline and online RL, model‑based RL, reward modeling, and simulation‑to‑real transfer. This role focuses on improving robotic decision‑making, robustness, recovery, and long‑horizon task execution. Embodied AI / World Models We welcome candidates working on generative world models, predictive modeling, video and action generation, action‑conditioned prediction, simulation, physical reasoning, and model‑based planning. This role focuses on building models that help robotic agents understand, predict, and plan in dynamic physical environments. Embodied AI / Robotic Systems We are hiring robotic systems engineers with experience in robotic arms, dexterous hands, control systems, ROS/ROS2, sensor integration, calibration, teleoperation, and real‑world deployment. This role focuses on building, integrating, testing, and deploying full‑stack robotic systems. LLM / VLM Foundation Models We are looking for candidates with experience in large language models, vision‑language models, multimodal foundation models, model pretraining and fine‑tuning, instruction tuning, data curation, evaluation, and efficient deployment. This role focuses on connecting foundation models with embodied agents and real‑world robotic applications. Qualifications Strong candidates may have experience in one or more of the following areas: machine learning, deep learning, robot learning, computer vision, multimodal AI, reinforcement learning, imitation learning, robotic manipulation, control, simulation, or foundation models. Experience with Vision‑Language‑Action models, LLMs/VLMs, generative AI, world models, policy learning, teleoperation, ROS/ROS2, Python, C++, PyTorch, Isaac Sim, MuJoCo, or real‑world robotic system deployment is highly relevant. Candidates with strong academic research experience, industry experience, startup experience, robotics competition experience, or hands‑on engineering experience are especially encouraged to apply. We value strong problem‑solving ability, technical ownership, research depth, engineering execution, and enthusiasm for building real robotic systems. Compensation Romoya offers a competitive compensation package designed to attract top talent in AI, robotics, and embodied intelligence. Compensation will be determined based on each candidate’s qualifications, experience, technical depth, research record, engineering ability, role level, and overall fit with the company’s needs. Location and Application These roles are primarily based in Palo Alto, California and San Diego, California. Candidates who are excited to work closely with the founding and technical teams in a fast‑moving startup environment are strongly encouraged to apply. To apply, please send your resume, a brief introduction, and any relevant project, research, GitHub, or publication links to: View email address on click.appcast.io Suggested email subject: Application – [Full-time/Internship] – [Your Area, e.g., Embodied AI/Imitation Learning or LLM/VLM Foundation Models] Strong background in machine learning, deep learning, robotics, computer vision, multimodal AI, or related fields. Experience with one or more areas of Embodied AI, including imitation learning, reinforcement learning, robot learning, world models, robotic systems, or foundation models. Strong programming skills in Python; experience with C++ is a plus. Hands‑on experience with deep learning frameworks such as PyTorch, TensorFlow, JAX, or similar tools. Ability to read, understand, and implement ideas from recent AI, robotics, and machine learning research papers. Strong problem‑solving ability and willingness to work on open‑ended, technically challenging problems. Ability to work in a fast‑moving startup environment and collaborate closely with research, engineering, and product teams. Strong communication skills and the ability to clearly document experiments, systems, and technical results. Candidates with academic research experience, industry experience, robotics competition experience, or hands‑on engineering experience are especially encouraged to apply. #J-18808-Ljbffr Stryker Corporation