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Staff Research Engineer (AI)

350 000 - 850 000$
Формат работы
hybrid
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
Staff Research Engineer (AI): Working end to end to identify and address key blockers on the path to scientific AGI with an accent on performance optimization and distributed systems. Focus on developing scalable engineering solutions for complex reasoning challenges and long-horizon task completion.

Location: San Francisco, CA, United States. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office presence.

Annual salary: $350,000–$850,000 USD.

Company

Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for people and society.

What you will do

  • Identify and remove full-stack bottlenecks limiting progress toward scientific AGI.
  • Develop approaches for long-horizon task completion and complex reasoning in scientific workflows.
  • Scale research prototypes into production systems.
  • Create benchmarks and evaluation frameworks for model capabilities, scientific workflows, and computer use.
  • Implement distributed training systems and performance optimizations for large-scale model development.

Requirements

  • 8+ years of machine learning research experience.
  • Experience with large-scale language model training, evaluation, and inference pipelines.
  • Expertise in performance optimization and distributed computing systems.
  • Strong problem-solving skills and the ability to identify technical bottlenecks in complex systems.
  • Ability to translate research concepts into scalable engineering solutions and a record of shipping ML systems for challenging multi-step reasoning problems.
  • Minimum education: a bachelor's degree or equivalent education, training, or experience in a relevant field.

Nice to have

  • Experience with computer-use automation, agentic AI, or reinforcement learning for complex task completion.
  • Knowledge of Docker, Kubernetes, VM or sandboxing technologies, and cloud deployment at scale.
  • Experience with large-scale data processing, infrastructure, scientific computing, or scientific AI applications.
  • Published research or practical experience in long-horizon reasoning.

Culture & Benefits

  • Collaborative research environment organized around several large-scale AI research efforts.
  • Frequent research discussions focused on high-impact work and communication.
  • Flexible working hours and an office designed for collaboration.
  • Generous vacation and parental leave.
  • Optional equity donation matching.
  • Visa sponsorship is available, with reasonable efforts and immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.

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