LLM Fine-Tuning Architect — Remote

Bright Vision Technologies; Eden Prairie (MN); Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Remote work

Career growth

Job summary

Bright Vision Technologies is seeking a Large Language Model Specialist to design, implement, and operationalize fine-tuning workflows for large language models. You will work across supervised, preference-based, and reinforcement learning approaches, balancing data quality, compute budgets, and shipping velocity.

The role requires deep ML experience, strong engineering discipline, and the ability to collaborate with product, design, and platform teams to deliver robust, production-ready ML

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or related field.
• Six or more years of combined ML research and engineering experience with LLM exposure.
• Strong proficiency in Python and PyTorch.
• Hands-on fine-tuning of transformer-based language models at 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 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.

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 techniques such as LoRA, QLoRA, and adapter-based methods.
• Design rigorous evaluation suites including automated benchmarks, human evaluation, and capability-specific probes.
• Implement safety, refusal, and policy evaluations to track model behavior across releases.
• Operate large-scale training jobs on GPU clusters, diagnosing failures and recovering training state reliably.
• Collaborate with product, research, and platform teams to align fine-tuning roadmaps with business needs.
• Document training methodology, results, and decisions clearly for technical and non-technical audiences.
• Mentor engineers on fine-tuning best practices, evaluation rigor, and responsible deployment.
• Stay current with LLM research and translate advances into production-ready fine-tuning recipes.

Skills

Python

PyTorch

LLM fine-tuning

Distributed training

RLHF

DPO

FSDP/ZeRO

Transformer models

Production-grade engineering

Strong communication

Education

Master’s or PhD in Computer Science or ML

Job description

Bright Vision Technologies is seeking a Large Language Model Specialist to design, implement, and operationalize fine-tuning workflows for large language models. You will work across supervised, preference-based, and reinforcement learning approaches, balancing data quality, compute budgets, and shipping velocity.

The role requires deep ML experience, strong engineering discipline, and the ability to collaborate with product, design, and platform teams to deliver robust, production-ready ML