Senior Foundation Model Engineer — Remote & High Impact

Bright Vision Technologies; Austin (TX); Remote; USD 200,000 - 230,000; Full time

Job summary

Bright Vision Technologies is seeking a Foundation Model Engineer to design, optimize, and operationalize fine-tuning workflows for large language models across supervision, preference-based, and RL approaches.

You will collaborate with product, design, engineering, and operations to translate ambiguous requirements into robust, production-grade solutions, balance data quality with compute budgets, and mentor junior engineers while shipping impactful LLM work.

Qualifications

• 10+ 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.

Skills

ML research

Python

PyTorch

Fine-tuning LLMs

Distributed training

RLHF / DPO

Evaluation design

GPU clusters

Communication

Shipping LLMs

Tools

HuggingFace

Job description

Bright Vision Technologies is seeking a Foundation Model Engineer to design, optimize, and operationalize fine-tuning workflows for large language models across supervision, preference-based, and RL approaches.

You will collaborate with product, design, engineering, and operations to translate ambiguous requirements into robust, production-grade solutions, balance data quality with compute budgets, and mentor junior engineers while shipping impactful LLM work.