Internship – Generative AI for Robotic Manipulation Full-time

MERL is looking for a highly motivated individual to work on generative foundation models for robotic manipulation . The research will develop novel algorithms for long-horizon robotic task planning and execution using pre-trained vision language models and generative models. The ideal candidate should have experience in either one or multiple of the following topics: LLMs, Diffusion Models/Policies, (Deep) Reinforcement learning and robotic manipulation. Senior PhD students in machine learning and engineering with a focus on Reinforcement Learning are encouraged to apply. Prior experience working with physics engines like Mujoco, Isaac Gym, etc. is required. A successful internship will result in submission of results to peer-reviewed conference and journals. Good coding skills in Python and state-of-the-art RL environments (e.g., RL Bench) is required. The expected duration of internship is 3-4 months with flexible start date starting from May 2025. The internship will be onsite at MERL.

Required Specific Experience

• Experience with Physics Engines like Mujoco, Isaac Gym (or something similar).
• Experience with Generative Models like LLMs, Stable Diffusion, etc.
• Some prior experience working with physical robots.

Mitsubishi Electric Research Labs, Inc. “MERL” provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.