Internship - Sample Efficient Safe Reinforcement Learning jobs in United States
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Mitsubishi Electric Research Laboratories · 2 months ago

Internship - Sample Efficient Safe Reinforcement Learning

Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated and qualified individual to conduct research in sample efficient safe reinforcement learning with applications to ultra-high precision positioning systems. The ideal candidate should have a solid background in dynamical systems, control theory, and reinforcement learning.

Artificial Intelligence (AI)
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Growth Opportunities
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H1B Sponsorednote

Responsibilities

Conduct research in sample efficient safe reinforcement learning via the integration of model- and learning-based theories, with applications to ultra-high precision positioning systems

Qualification

Reinforcement LearningControl TheoryDynamical SystemsCoding SkillsResearch ExperienceTeam Collaboration

Required

Highly motivated and qualified individual
Solid backgrounds in dynamical systems
Solid backgrounds in control theory
Solid backgrounds in reinforcement learning
Strong coding skills
Ph.D. students in learning and control are encouraged to apply
Full authorization to work in the U.S
Access to technology, software and other information that is subject to governmental access control restrictions

Preferred

Prior experience on ultra-high precision motion control systems

Benefits

Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers
Health insurance coverage

Company

Mitsubishi Electric Research Laboratories

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Mitsubishi Electric Research Laboratories is the North American arm of the corporate R&D organization of Mitsubishi Electric Corporation.

H1B Sponsorship

Mitsubishi Electric Research Laboratories has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (4)
2021 (4)
2020 (10)

Funding

Current Stage
Growth Stage

Leadership Team

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Chiori Hori
Senior Principal Research Scientist
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