Role OverviewJoin an established technology consulting and software development company as a 100% remote Large Language Model Specialist. The role requires deep practical experience with modern training stacks, careful dataset construction, and rigorous evaluation methodology. The ideal candidate combines strong ML intuition with production-grade engineering practices.
What You Will Do
Design and execute fine-tuning experiments for large language models, lead dataset construction, build scalable training pipelines, and implement parameter-efficient fine-tuning techniques.
Why It Might Be a Fit
The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.
- Six or more years of combined ML research and engineering experience, with significant LLM exposure.
- Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
- Hands-on experience fine-tuning transformer-based language models at non-trivial scale.
- Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
- Experience with RLHF, DPO, or other preference optimization techniques.
- Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
- Experience operating training jobs on GPU clusters and recovering from failures.
- Strong written and verbal communication skills.
- Track record of shipping or publishing impactful LLM work.
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid time off
- Retirement plan
- Stock options
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