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3 дня назад

ML Research Engineer (AI)

220 000 - 300 000$
Формат работы
onsite
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
ML Research Engineer (AI): Designing, training, and evaluating LLMs, diffusion models, and domain-specific architectures with an accent on scalable experimentation pipelines, distributed training, and multimodal AI. Focus on translating research papers into production-ready tools, optimizing data and training workflows, and building reproducible evaluation systems from zero to one.

Location: On-site in Mountain View, California, United States

Salary: $220,000–$300,000 USD annually plus equity

Company

hirify.global is an AI data and evaluation company serving frontier AI labs.

What you will do

  • Design, train, and evaluate LLMs, diffusion models, and domain-specific ML architectures.
  • Develop scalable experimentation pipelines across data processing, model training, and evaluation.
  • Collaborate with data and infrastructure teams to improve training throughput and data quality.
  • Contribute to open research, internal benchmarks, and emerging multimodal and generative AI techniques.
  • Prototype research insights and productionize them into usable tools and models.
  • Set standards for research rigor, documentation, and reproducibility.

Requirements

  • 3–10 years of experience in ML research, applied ML, or ML systems engineering.
  • Hands-on expertise with PyTorch, JAX, or TensorFlow.
  • Experience with Transformers, diffusion models, or RLHF.
  • Strong foundations in data processing, distributed training, and evaluation metrics.
  • Ability to translate research papers into working prototypes and production-ready code.
  • Comfort building from zero to one in a fast-moving, unstructured startup environment.

Culture & Benefits

  • Work directly with the founding team on foundational AI research infrastructure.
  • Build systems at the intersection of applied machine learning and systems engineering.
  • Equity offered.
  • Visa sponsorship is not available.

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