Senior LLM Fine-Tuning Engineer (Remote)

Bright Vision Technologies; South Jordan, Draper (UT, UT); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Large Language Model Specialist to design, implement, and optimize fine-tuning workflows for state-of-the-art LLMs. This is a 100% remote, direct W2 full-time position within a U.S.-based team, offering substantial growth as you work cross-functionally with product, design, and engineering to ship production-grade models.

The ideal candidate has 6+ years in ML research and engineering, deep experience with PyTorch, transformer fine-tuning, and distributed

Qualifications

• Master’s or PhD in CS/ML or related field; or equivalent experience.
• 6+ years in ML research/engineering with significant LLM exposure.
• Proficiency in Python and PyTorch.
• Experience fine-tuning transformer models at scale.
• Familiarity with distributed training (FSDP, ZeRO, pipeline parallelism).
• Experience with RLHF, DPO, or other preference optimization techniques.

Responsibilities

• Design and execute fine-tuning experiments for large language models using supervised, DPO, RLHF, and related techniques.
• Lead dataset construction, curation, and quality assurance for instruction tuning and preference data.
• Build scalable training pipelines on top of modern distributed training frameworks.
• Tune hyperparameters, optimizer configurations, and training stability strategies for large-model fine-tuning.
• Implement parameter-efficient fine-tuning such as LoRA, QLoRA, and adapter-based methods.
• Design rigorous evaluation suites including automated benchmarks and human evaluation.
• Operate large-scale training jobs on GPU clusters and diagnose failures.
• Collaborate with product, research, and platform teams to align roadmaps with business needs.
• Document training methodology, results, and decisions clearly for technical and non-technical audiences.
• Mentor engineers on fine-tuning best practices and responsible deployment.

Skills

Python

PyTorch

Fine-tuning transformers

RLHF

DPO

Evaluation methodology

Distributed training

GPU clusters

Communication

LLM shipping

Education

Master’s or PhD in CS/ML or related field

Job description

Bright Vision Technologies is seeking a Large Language Model Specialist to design, implement, and optimize fine-tuning workflows for state-of-the-art LLMs. This is a 100% remote, direct W2 full-time position within a U.S.-based team, offering substantial growth as you work cross-functionally with product, design, and engineering to ship production-grade models.

The ideal candidate has 6+ years in ML research and engineering, deep experience with PyTorch, transformer fine-tuning, and distributed