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General Motors
General Motors
Sponsor pentru viza H1BIndustria autoIndustria prelucrătoareTransport
General Motors este o companie globală din industria auto și de producție, care activează în domeniile ingineriei vehiculelor, producției, transporturilor și tehnologiei informației. Fondată în 1908, GM dezvoltă tehnologii menite să avanseze mobilitatea, urmărindu-și în același timp viziunea de zero accidente, zero emisii și zero congestie. Operațiunile sale internaționale reunesc echipe numeroase și multidisciplinare, axate pe inovare, transport sustenabil și viitorul industriei auto.
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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.

USStatele Unite ale AmericiiCACalifornia
11.800 $ – 14.600 $ / lună
HibridStagiuNivel începătorLimbă Obligatorie: englezăCercetător științific în domeniul IAInginer de învățare automată
C++PythonPyTorchTensorFlow

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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