обновлено 7 дней назад
Generative AI Engineer (LLM)
90 000 - 115 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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