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Member of Technical Staff, Machine Learning Engineer (AI)

240 000 - 350 000$
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

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TL;DR
Member of Technical Staff, Machine Learning Engineer (AI) (AI agents for scientific discovery): Building and deploying machine learning models, LLM-based agents, training pipelines, and inference infrastructure that accelerate scientific research and medicine development with an accent on applied ML research, reproducible experimentation, and production reliability. Focus on training large-scale LLM systems, designing distributed infrastructure, and solving complex scientific tasks with multidisciplinary researchers.

Location: On-site in San Francisco, United States

Salary: $240,000–$350,000 per year, plus equity

Company

hirify.global builds and deploys AI scientist agents to accelerate scientific discovery and the development of new medicines.

What you will do

  • Translate qualitative challenges in scientific AI agents into well-formulated, optimizable problems.
  • Build environments for training and deploying agents that solve scientific tasks.
  • Partner with scientists to design and scale observable, reproducible training data pipelines.
  • Lead training of large-scale LLM-based systems and develop infrastructure for experimentation and production training.
  • Build flexible inference infrastructure supporting complex sampling algorithms and custom architectures.
  • Extend experimentation platforms and collaborate with AI researchers, chemists, and biologists.

Requirements

  • 5–10+ years of experience in applied ML research and applying ML methods to real-world problems.
  • Experience across the ML lifecycle, including data provenance, model training, deployment, and production validation.
  • Fluency in PyTorch, JAX, or an equivalent framework.
  • Strong programming skills across data, ML, and LLM software stacks.
  • PhD in Machine Learning, Computer Science, or another quantitative field.
  • Experience with distributed computing resources and complex distributed systems architecture.

Culture & Benefits

  • Full healthcare coverage with premiums paid for employees and dependents.
  • Equity, 401(k) company matching, commuter benefits, and quarterly health and wellness support.
  • Family support, fertility coverage, and 12 weeks of paid parental leave.
  • Mental health support, pet care assistance, and employer-funded stipends.
  • Daily office lunch, dinner when working late, team off-sites, and company events.

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