Remote LLM Engineer: Fine-Tuning & Production ML

Bright Vision Technologies; Framingham (MA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an LLM Engineer to design, implement, and productionize fine-tuning pipelines for large language models. You will work with cross-functional teams to translate requirements into robust training workflows and ensure scalable, reliable results.

The role emphasizes hands-on ML engineering, evaluation rigor, and mentorship of junior engineers, with the opportunity to contribute to cutting-edge AI initiatives in a remote-first environment.

Qualifications

• Masters/PhD in CS/ML or equivalent experience.
• 6+ years of ML research/engineering with LLM exposure.

Responsibilities

• Design and execute fine-tuning experiments for LLMs using supervised, DPO, RLHF.
• Lead dataset construction, curation, and QA for instruction tuning and preference data.
• Build scalable training pipelines on modern distributed training frameworks.
• Tune hyperparameters and stability strategies for large-model fine-tuning.
• Implement parameter-efficient fine-tuning techniques (LoRA, QLoRA, adapters).
• Design rigorous evaluation suites including automated benchmarks and human evaluation.
• Implement safety, refusal, and policy evaluations across releases.
• Operate large-scale training jobs on GPU clusters and recover training state.
• Optimize throughput with mixed precision and efficient attention implementations.
• Manage model artifacts and reproducibility across experiments.
• Collaborate with product/research/platform teams to align roadmaps.
• Document training methodology and results for technical and non-technical audiences.
• Mentor engineers on fine-tuning best practices.
• Stay current with LLM research and translate into production-ready recipes.

Skills

Python & PyTorch

LLM fine-tuning

Distributed training

RLHF/DPO

Evaluation methodology

GPU training ops

Technical communication

Shipping LLM work

Education

Master’s or PhD in CS/ML

Tools

PyTorch

Job description

Bright Vision Technologies is seeking an LLM Engineer to design, implement, and productionize fine-tuning pipelines for large language models. You will work with cross-functional teams to translate requirements into robust training workflows and ensure scalable, reliable results.

The role emphasizes hands-on ML engineering, evaluation rigor, and mentorship of junior engineers, with the opportunity to contribute to cutting-edge AI initiatives in a remote-first environment.