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Generative AI Engineer (LLM)

90 000 - 115 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Generative AI Engineer (LLM) (Python/PyTorch): Designing and operationalizing fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches with an accent on dataset construction, evaluation methodology, and reliable production engineering. Focus on distributed training with FSDP, ZeRO, and pipeline parallelism, operating GPU-cluster training jobs, recovering from failures, and shipping impactful LLM work.

Location: 100% remote within the United States

Salary: $90,000–$115,000 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 and recover reliably from failures.
  • Translate ambiguous requirements into production-grade ML solutions with product, design, engineering, operations, and business stakeholders.
  • Contribute through code reviews, design reviews, and mentorship of junior engineers.

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
  • At least six 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.
  • Experience with FSDP, ZeRO, pipeline parallelism, RLHF, DPO, or other preference-optimization techniques.
  • Strong communication skills and a track record of shipping or publishing impactful LLM work.

Nice to have

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

Culture & Benefits

  • Full-time direct W-2 employment.
  • Collaboration across product, design, engineering, operations, and business functions.
  • Career growth opportunities within an established organization.
  • U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petitions cannot be sponsored for this position.

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