Robot Learning Research Intern jobs in United States
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Bosch USA · 4 hours ago

Robot Learning Research Intern

Bosch USA is seeking knowledgeable research interns for their Robot Learning Lab in Pittsburgh. The role involves tackling challenging robotics and automation problems by engaging in literature reviews, designing experimental plans, and contributing to high-quality research publications.

EnergyRenewable EnergyStaffing Agency
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H1B Sponsor Likelynote

Responsibilities

Discuss relevant tasks in Robotics / Embodied AI and quickly agree on research topic
Perform extensive literature review, to understand the current state-of-the-art methods
Generate an R&D plan—detailing the relevant research questions, selected AI/ML task(s), intended methodology, experiments, evaluation metrics, and publication venue targets
Maintain an on-going report of progress towards goals and present related literature and project status to supervisor(s) and/or colleagues on a weekly basis
Design and implement proposed methodology, according to the above research plan, while remaining aware of any new developments in the field
Perform extensive evaluation of the proposed approach and generate results (e.g., proofs, quantitative results that compare the main results with baselines and ablations, qualitative analysis that visualizations the behavioral tendencies of the approach)
Work with supervisor(s) to publish a high-quality research paper in a major conference venue, e.g., NeurIPS, ICML, ICLR, CoRL, RSS, CVPR/ICCV/ECCV, ICRA, IROS, etc

Qualification

RoboticsRobot LearningEmbodied AILarge Behavior ModelsLarge Language ModelsMulti-GPU trainingPythonLinux-based systemsTransfer representation learningNon-convex optimizationReinforcement learningPublication history

Required

Currently pursuing a Ph.D. or recent post-doctoral researcher in Robotics, Machine Learning, Computer Engineering, or related
Minimum GPA of 3.0
Strong background in Robot Learning, Robotics, and/or Embodied AI
Extensive experience in training Large Behavior Models, such as VLAs and Diffusion Policies
Extensive experience in leveraging Large Language Models, Vision-Language Models, and/or foundation models that are grounded with other modalities (e.g., audio, haptics, etc.)
Extensive experience in training neural models on multi-machine or multi-GPU setups
Extensive experience in working on robot hardware platforms
Extensive publication history in top conference venues

Preferred

Extensive experience in development in Python on Linux-based systems
Theoretical background in ML topics, e.g., transfer representation learning, non-convex optimization, reinforcement learning, provably safe learning, etc

Company

Bosch USA

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The Bosch Group’s strategic objective is to create solutions for a connected life.

H1B Sponsorship

Bosch USA 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
2021 (1)
2020 (9)

Funding

Current Stage
Late Stage

Leadership Team

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Ulrike "Uli" Jaschek
CEO- Bosch Automotive Workshop Services LLC
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Manuel Dietz
VP Bosch Digital | Regional CIO Americas
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