Applied AI Research (Capabilities)

Details

As an Applied AI Field Researcher, you will drive the adoption of frontier AI by developing customized AI solutions and collaborating with enterprise customers to advance model capabilities. You will customize Anthropic’s frontier large language models through fine-tuning and partner with customers to improve future versions of Claude in domains critical to their success.

You will collaborate with Sales, Product, Research, and Engineering teams to help enterprise partners incorporate advanced AI systems into their products while gathering insights that shape model development. The role involves explaining and demonstrating complex solutions to technical and non-technical audiences, identifying opportunities to improve and differentiate AI systems, and maintaining high safety standards.

Responsibilities

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

Requirements

• At least 3 years of experience training or fine-tuning deep learning models.
• Experience in a customer-facing or client-facing role.
• An advanced degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field.
• Experience designing evaluations, building reinforcement learning environments, or contributing to model training pipelines.
• Strong technical aptitude for partnering with engineers and researchers.
• Strong proficiency in at least one programming language, preferably Python.
• Recent experience building production systems with large language models.
• Ability to navigate and execute in ambiguous situations and adapt to different domains based on the business problem.
• Ability to find simple, easy-to-understand solutions.
• Strong communication and interpersonal skills, including the ability to explain complex topics to diverse external and internal stakeholders.
• Ability to collaborate across organizations, work through trade-offs, and balance competing priorities.
• Interest in teaching, mentoring, and helping others succeed.
• Passion for using technology safely and beneficially to advance safe AI systems.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration.

Work Policy and Sponsorship

Anthropic currently expects all staff to work from one of its offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and states that it makes every reasonable effort to obtain a visa for candidates who receive an offer, with assistance from an immigration lawyer.