Large Language Model Specialist (LLM Fine-Tuning)

Location: 100% remote within the United States

Salary: $100,000–$150,000 annually

Company

hirify.global is a technology consulting and software development company delivering 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 operate large-scale jobs on GPU clusters.
• Optimize training stability and throughput using hyperparameter tuning, mixed precision, sequence packing, and efficient attention implementations.
• Develop automated benchmarks, human evaluations, capability probes, and safety and policy evaluations.
• Collaborate with product, research, engineering, and platform teams while documenting decisions and mentoring engineers.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• Six or more years of combined machine learning research and engineering experience with significant LLM exposure.
• Strong proficiency in Python and PyTorch, with hands-on experience fine-tuning transformer-based language models at non-trivial scale.
• Experience with FSDP, ZeRO, pipeline parallelism, RLHF or DPO, evaluation methodology, and GPU cluster operations.
• Strong written and verbal communication skills and a track record of shipping or publishing impactful LLM work.
• Applicants must be U.S. citizens, Green Card holders, EAD holders, or H-1B transfer candidates.

Nice to have

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

Culture & Benefits

• Full-time direct W-2 employment.
• Remote work within the United States.
• Collaboration with product, design, engineering, operations, research, and business stakeholders.
• Opportunities for career growth, technical leadership, code review, design review, and mentorship.