Foundation Model Engineer (LLM)

Location: 100% remote within the United States

Salary: $200,000–$230,000 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, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches.
• Construct high-quality datasets and develop rigorous benchmark and human evaluation methodologies.
• Operate complex training jobs on GPU clusters, including failure recovery and reliability improvements.
• Translate ambiguous requirements into engineered solutions with product, design, engineering, operations, and business stakeholders.
• Contribute through code reviews, design reviews, and mentorship of junior engineers.

Requirements

• 10+ years of combined ML 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 non-trivial scale.
• Familiarity with FSDP, ZeRO, pipeline parallelism, RLHF, DPO, and other preference optimization techniques.
• Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
• U.S. work authorization is required; new H-1B visa petitions cannot be sponsored.

Nice to have

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

Culture & Benefits

• Full-time direct W-2 employment.
• Fully remote work within the United States.
• Opportunity for career growth in an established consulting and software development organization.