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Global Brain Corporation
Global Brain Corporation
51 – 200 Angajați
EducațieFinanțeInvestiții
Global Brain Corporation este o firmă independentă de capital de risc care sprijină startupurile și ajută companiile consacrate să urmărească inovația deschisă. Fondată în 1998, firma investește în industrii emergente și colaborează cu antreprenori și parteneri corporativi pentru a dezvolta, extinde și lansa pe piață noi afaceri. Abordarea sa axată pe portofoliu combină investițiile cu colaborarea, sprijinind companiile pe măsură ce se extind la nivel internațional. Global Brain administrează active de peste 2 miliarde de dolari și operează la intersecția dintre finanțe, investiții și inovație.
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Locurile de muncă ale companiei

Applied AI and Machine Learning Co-op Intern

Co-op intern developing LLM applications and data pipelines, while supporting production machine learning systems. Work serves healthcare, government, and energy institutions.

USStatele Unite ale AmericiiCACaliforniaHibridStagiuNivel începătorNu este necesară o diplomăLimbă Obligatorie: englezăInginer de învățare automată
PythonPyTorchTensorFlow

Descriere

  • Help design and deploy LLM applications that automate complex workflows
  • Build and refine data pipelines
  • Assist with model training, evaluation, and optimization
  • Handle structured and unstructured data, including text, documents, and logs
  • Prepare models and systems for production deployment and monitoring
  • Work with senior engineers, AI researchers, and product teams
  • Contribute to code reviews and design discussions
  • Learn to navigate customer needs and real-world constraints, including those of public-sector institutions

Cerințe

  • Currently a junior or senior undergraduate studying computer science, machine learning, data science, or a related subject
  • Programming experience with Python
  • Coursework or project experience in AI or machine learning
  • Exposure to or interest in LLMs and generative AI applications, including agents, retrieval-augmented generation (RAG), and reasoning workflows
  • Experience with PyTorch, JAX, or TensorFlow, or willingness to learn
  • Strong grounding in data structures and algorithms
  • Expected to graduate between June 2027 and June 2028
  • Authorized to work legally in the United States
  • Available to work full-time in San Francisco, California, for the entire co-op term, January 11 through April 30, 2027

Beneficii

  • Competitive co-op pay
  • Practical mentorship from experienced AI engineers and researchers
  • Chance to contribute to production systems used worldwide
  • May be considered for return offers for future internships or full-time positions
  • Daily lunches when working onsite

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