Large Language Model Specialist (LLM)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

Technology consulting and software development services focused on cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Design and execute fine-tuning experiments for large language models using supervised learning, DPO, RLHF, and related techniques.
• Construct, curate, and quality-assure instruction-tuning and preference datasets.
• Build scalable training pipelines with distributed training frameworks and optimize hyperparameters, throughput, and training stability.
• Implement parameter-efficient fine-tuning methods including LoRA, QLoRA, and adapter-based approaches.
• Develop automated benchmarks, human evaluations, capability probes, and safety, refusal, and policy evaluations.
• Operate GPU-cluster training jobs, manage experiment artifacts and lineage, document results, collaborate cross-functionally, and mentor engineers.

Requirements

• Must be based in the United States for this remote position.
• Master’s degree or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• 6+ years of combined machine learning 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 meaningful scale.
• Experience with distributed training, RLHF or DPO, evaluation methodology, GPU clusters, and production LLM work.

Nice to have

• Publications at top-tier machine learning venues.
• Multimodal model fine-tuning experience.
• Experience with synthetic data generation, dataset distillation, or open-source LLM training libraries.
• Exposure to responsible AI evaluation and red-teaming.

Culture & Benefits

• Full-time direct W-2 employment.
• Remote work within the United States.
• Opportunities to collaborate with product, research, platform, engineering, operations, and business stakeholders.
• Career growth opportunities within an established organization.

Hiring process

• Apply by submitting a resume for consideration.
• New H-1B visa petitions cannot be sponsored. U.S. citizens, Green Card holders, EAD holders, and candidates eligible for H-1B transfer are encouraged to apply.