Goldman Sachs
LLM Fine-Tuning Intern
About this internship
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Skills you'll use
What you'll do
- Work on adapting an open model to a narrow task with a small, clean dataset — and checking it did not get worse at everything else alongside the core team
- Apply Fine-Tuning, LoRA / PEFT, PyTorch, Hugging Face to live, production-facing problems
- Document your work clearly for reviewers and stakeholders
- Participate in reviews and act on the feedback you receive
- Collaborate across engineering, product, design or business as required
- Follow the team's quality, testing and documentation standards
Who can apply
- Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (Computer Science / Statistics / Mathematics)
- Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
- 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
- Working knowledge of Fine-Tuning, LoRA / PEFT, PyTorch (or a genuine willingness to learn them)
- Exposure to Hugging Face, Dataset Curation, Evaluation Benchmarks is an advantage
- Clear written and verbal communication in English, and care with detail in your work
- No prior work experience required — this is a fresher-friendly internship
- Based in Mumbai, Maharashtra or willing to work from there for the internship period
Perks & benefits
Interview & selection process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Online aptitude / domain assessment
- 3HR discussion — stipend, start date, expectations and offer
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