Applied AI Research (Capabilities)

About Anthropic

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.

About the role

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.

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.

Responsibilities:

• 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

You may be a good fit if you have:

• 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

Logistics

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 underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.