Applied AI Research; Capabilities

Applied AI Research (Capabilities)

San Francisco, CA | New York City, NY

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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 fine tuning and partner with customers to improve future versions of Claude in domains critical to their success.

In collaboration with the Sales, Product, Research, and Engineering teams, you'll help enterprise partners incorporate leading-edge AI systems into their products while gathering insights that shape model development. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

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, then collaborate with Research teams to develop evals, RL environments, and training infrastructure that advance model capabilities

Leverage advanced machine learning skills to optimize fine tuning strategies, design robust evaluation frameworks, and contribute to novel training approaches

Collaborate closely with ML researchers to develop and implement cutting-edge fine tuning 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 fine tuning and model improvement projects, offering guidance on integration, deployment, and best practices

Stay current with the latest advancements in AI, fine tuning techniques, and reinforcement learning for large language models

Travel occasionally to customer sites for workshops, research collaboration, and implementation support

3+ years of experience training or fine tuning 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

Minimum education:

Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from…