AI Applications Engineer

Location: 100% remote within the United States

Salary: $100,000–$175,000 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 methods.
• 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 hyperparameters, training stability, throughput, mixed precision, sequence packing, and efficient attention.
• Develop automated benchmarks, human evaluations, capability probes, safety evaluations, and refusal or policy assessments.
• Collaborate with product, research, platform, and business teams while documenting decisions, reviewing designs, and mentoring engineers.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
• At least six 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 non-trivial scale.
• Experience with FSDP, ZeRO, pipeline parallelism, RLHF, DPO, evaluation methodology, and GPU cluster operations.
• Must be authorized to work in the United States; new H-1B visa petitions cannot be sponsored. U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

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 W2 employment.
• Opportunity for career growth within an established technology consulting and software development organization.
• Cross-functional collaboration with product, design, engineering, operations, research, and business stakeholders.
• Emphasis on production-quality engineering, clear communication, code review, design review, and mentorship.