LLM Engineer

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 distributed training pipelines and optimize throughput using mixed precision, sequence packing, and efficient attention.
• Implement parameter-efficient fine-tuning methods including LoRA, QLoRA, and adapter-based techniques.
• Develop automated benchmarks, human evaluations, capability probes, and safety and policy evaluations.
• Operate GPU-cluster training jobs, manage experiment artifacts and lineage, document results, collaborate cross-functionally, and mentor engineers.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• 10+ years of combined machine learning research and engineering experience with significant LLM exposure.
• Strong Python and PyTorch skills, with hands-on experience fine-tuning transformer-based language models at non-trivial scale.
• Experience with distributed training strategies such as FSDP, ZeRO, and pipeline parallelism, as well as GPU-cluster operations and failure recovery.
• Experience with RLHF, DPO, or other preference optimization techniques and strong knowledge of evaluation methodology.
• Applicants must be authorized to work in the United States. Strong written and verbal communication skills are required.

Nice to have

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

Culture & Benefits

• Full-time direct W-2 employment.
• Collaboration with product, research, platform, engineering, operations, and business stakeholders.
• Opportunities to mentor engineers and influence fine-tuning standards and roadmaps.
• Career growth within an established technology consulting and software development organization.

Hiring process

• Submit a resume for consideration by email.
• U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.
• New H-1B visa petitions are not sponsored for this position.