Applied AI Research (Capabilities)

Anthropic · San Francisco, CA | New York City, NY · Sales · listed August 31, 2026

The shape of it

Seniority
Mid level
Experience asked
3+ years
Where
Hybrid
Requirements listed
11
Length
1,440 words

In the posting’s own words

As an Applied AI Field Researcher, you will drive the adoption of frontier AI by developing customized AI solutions and collaborating with top enterprises to advance model capabilities. You'll leverage your customer-facing engineering experience and technical skills to both customize Anthropic's frontier LLMs through finetuning and partner with customers to improve future versions of Claude in domains critical to their success.

What it asks for · 11

  • 3+ years of experience training or finetuning deep learning models
  • Experience in a customer or client facing role
  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field
  • Experience designing evals, building RL environments, or contributing to model training pipelines
  • Strong technical aptitude to partner with engineers and researchers, with strong proficiency in at least one programming language (Python preferred)
  • Recent experience building production systems with large language models
  • The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
  • Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

What the job covers

  • Design and execute high-quality finetuning projects for critical customers, delivering customized AI solutions with exceptional reliability
  • Partner with customers to identify domains where Claude should improve, then collaborate with Research teams to develop evals, RL environments, and training infrastructure that advance model capabilities
  • Leverage advanced machine learning skills to optimize finetuning strategies, design robust evaluation frameworks, and contribute to novel training approaches
  • Collaborate closely with ML researchers to develop and implement cutting-edge finetuning techniques and model improvement methodologies
  • Partner with account executives to understand customer requirements and translate them into both immediate solutions and longer-term research opportunities
  • Serve as the primary technical advisor for customers on finetuning and model improvement projects, offering guidance on integration, deployment, and best practices
  • Stay current with the latest advancements in AI, finetuning techniques, and reinforcement learning for large language models
  • Travel occasionally to customer sites for workshops, research collaboration, and implementation support

Degree language

  • Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field

Tools and skills named

Models & research
  • Fine-tuning13×
  • Machine learning6×
  • LLM5×
  • Evaluations4×
  • Deep learning2×
  • Reinforcement learning2×
Data
  • Statistics2×
Languages
  • Python2×
Ways of working
  • Mentorship2×

Words the posting leans on

  • model16×
  • customers13×
  • finetuning13×
  • experience9×
  • learning8×
  • partner8×
  • solutions8×
  • technical8×
  • training8×
  • collaboration7×
  • research7×
  • skills6×
  • systems6×
  • domains5×
  • researchers5×
  • advanced4×

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How this page was made

An automated read of a public job posting, fetched August 31, 2026 and last changed by Anthropic on August 31, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.