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Vakances uzņēmumā

Summer AI Research Intern, Embodied AI

Research machine learning, robotics, and multimodal models for autonomous driving at General Motors. Run experiments and collaborate with research and engineering teams in a hybrid internship based in Sunnyvale, California.

USAmerikas Savienotās ValstisCAKalifornija
11 800 $ – 14 600 $ / mēnesis
HibrīdiPrakseSākuma līmenisNepieciešamā Valoda: angļuMākslīgā intelekta pētnieksMašīnmācīšanās inženieris
C++PythonPyTorchTensorFlow

Apraksts

  • Investigate machine learning, robotics, and autonomous driving through an applied research project.
  • Partner with researchers and engineers to shape hypotheses, plan experiments, train and assess models, interpret results, and share findings.
  • Define research problems and build prototypes for autonomous driving applications.
  • Plan and conduct experiments, ablation studies, and quantitative evaluations.
  • Train and benchmark models on large datasets using distributed computing infrastructure.
  • Study model behavior, failure cases, generalization, and performance tradeoffs.
  • Work with teams in perception, planning, robotics, controls, and systems engineering.
  • Contribute to technical discussions and, where appropriate, research documentation, publications, patents, or open-source projects.
  • Present findings to technical and cross-functional audiences.

Prasības

  • Pursuing or preparing to begin a Ph.D. in machine learning, artificial intelligence, computer science, robotics, or a related technical discipline.
  • Strong command of contemporary machine learning and deep learning methods.
  • Proficiency in Python and experience with PyTorch, TensorFlow, JAX, or another machine learning framework.
  • Demonstrated AI or machine learning research experience through coursework, academic projects, publications, or equivalent work.
  • Strong analytical and problem-solving abilities, including experience designing experiments and interpreting results.
  • Able to collaborate in a cross-functional, team-based environment.
  • Strong written, spoken, and presentation skills.
  • Available to work 40 hours per week throughout the internship.
  • Experience with transformers, large language models, vision-language models, vision-language-action models, diffusion models, or other generative architectures.
  • Experience with reinforcement learning, imitation learning, self-supervised learning, world models, multimodal learning, or temporal modeling.
  • Familiarity with autonomous vehicles, advanced driver assistance systems, robotics, or embodied AI.
  • Experience with large datasets, distributed training, high-performance computing, or model scaling.
  • Evidence of substantial technical contributions, such as first-authored publications, grants, fellowships, patents, or open-source work.
  • Experience with C++ or another systems programming language.
  • Plans to return to a degree program after the internship or co-op.
  • Expected to graduate between December 2027 and June 2028.

Priekšrocības

  • Eligible students selected for the 2027 Student Program receive a one-time taxable lump-sum stipend.
  • Paid U.S. GM holidays.
  • GM Family First Vehicle Discount Program.
  • Potential to grow within GM, based on performance and business needs.
  • Intern events and chances to network with company leaders and fellow interns.
  • Mentorship and hands-on experience with the data and machine learning foundations of autonomous driving.

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