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1 день назад

Applied AI Research (Capabilities)

1 - 2$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Applied AI Research (Capabilities) (AI/LLM fine-tuning): Developing customized frontier AI solutions and improving Claude's capabilities through customer-driven fine-tuning, evaluations, RL environments, and training infrastructure with an accent on large language models, robust evaluation frameworks, and production deployment. Focus on designing advanced fine-tuning strategies, collaborating with research and engineering teams on model improvement, and translating enterprise requirements into reliable and safe AI systems.

Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from an office at least 25% of the time. Occasional travel to customer sites is required.

Annual salary: $1–$2 USD.

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.

What you will do

  • Design and execute fine-tuning projects that deliver reliable, customized AI solutions for enterprise customers.
  • Identify domains where Claude should improve and collaborate with research teams on evaluations, reinforcement-learning environments, and training infrastructure.
  • Optimize fine-tuning strategies, evaluation frameworks, and model-improvement methodologies.
  • Advise customers on fine-tuning, integration, deployment, and best practices.
  • Translate customer requirements into immediate solutions and longer-term research opportunities with Sales, Product, Research, and Engineering.
  • Travel occasionally to customer sites for workshops, research collaboration, and implementation support.

Requirements

  • 3+ years of experience training or fine-tuning deep learning models.
  • Experience in a customer- or client-facing role and building production systems with large language models.
  • Experience designing evaluations, building RL environments, or contributing to model training pipelines.
  • Strong proficiency in at least one programming language, preferably Python.
  • Bachelor’s degree or equivalent experience; an advanced degree in computer science, machine learning, artificial intelligence, statistics, or a related technical field is valued.
  • Excellent communication, collaboration, teaching, and mentoring skills, with a commitment to safe and beneficial AI.

Culture & Benefits

  • Collaborative research environment focused on a small number of large-scale AI efforts.
  • Competitive compensation and benefits, including optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and an office environment for collaboration.
  • Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate. Immigration-lawyer support is provided.

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