Remote Foundation Model Engineer - Lead LLM Training

Bright Vision Technologies; Chesterfield (MO); À distance; USD 200 000 - 230 000; Plein temps

Résumé du poste

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are looking for a Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches.

The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation

Qualifications

• 10+ years of ML research and engineering experience, with significant LLM exposure.
• Strong Python and PyTorch proficiency.
• Hands-on 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.

Responsabilités

• Design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches.
• Collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions.
• Raise the bar through code review and design review to ensure robust training pipelines.
• Mentor junior engineers and share best practices.
• Ship meaningful work that holds up in production.

Connaissances

LLM experience

Python

PyTorch

Fine-tuning LLMs

Distributed training

RLHF/DPO

Evaluation methodology

GPU clusters

Communication

Shipping LLM work

Description du poste

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. We are looking for a Foundation Model Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches.

The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation