Machine Learning Engineer, Agent Skills

Staff Machine Learning Engineer, Agent Skills

Remote‑Friendly (Travel‑Required) | San Francisco, CA | Seattle, WA | New York City, NY

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

Agentic systems are the next frontier of usefulness for Claude. Over the last year, we’ve seen rapid adoption of Claude‑powered agentic systems in spaces like coding, research, customer support, network security, and more. We believe this is just the beginning, and we expect Claude to be handling much more complex tasks end‑to‑end or in cooperation with a human user as time goes on.

We have a team striving to make Claude an even more effective agent, focusing on planning, reliable execution over longer time‑horizon tasks, scaled tool use, Agent Skills, memory, and inter‑agent coordination. This team endeavors to maximize agent performance by solving challenges at whatever level is needed, whether it’s fine tuning, agent infrastructure, or agent design best practices.

Given that this is a nascent field, we ask that you share with us a project built on LLMs that showcases your skill at getting them to do complex tasks. Here are some example projects of interest:

• Design of complex agents

• Quantitative experiments with prompting

• Constructing model benchmarks

• Synthetic data generation

• Model fine tuning

• Application of LLMs to a complex task

Responsibilities

• Finetune new capabilities into Claude that maximize Claude’s performance or ease of use on agentic tasks

• Ideate, develop, and compare the performance of different tools for agents (e.g., memory, context compression, communication architectures for agents)

• Develop and improve the virtual machine infrastructure and affordances that Claude has access to

• Systematically discover and test best practices for creating and using Agent Skills

• Develop automated techniques for designing and evaluating agentic systems

• Assist with automated evaluation of Claude models and prompts across the training and product lifecycle

• Work with our product org to find solutions to our most vexing challenges applying agents to our products

• Help create and optimize data mixes for model training

You may be a good fit if you:

• Have 7+ years of ML and software engineering experience

• Have at least a high‑level familiarity with the architecture and operation of large language models

• Have extensive prior experience exploring and testing language model behavior

• Have spent time prompting and/or building products with language models

• Have good communication skills and an interest in working with other researchers on difficult tasks

• Have a passion for making powerful technology safe and societally beneficial

• Stay up‑to‑date and informed by taking an active interest in emerging research and industry trends

• Enjoy pair programming (we love to pair!)

Strong candidates may also have experience with:

• Developing complex agentic systems using LLMs

• Large‑scale RL on language models

• Multi‑agent systems

Representative projects

• Implementing and testing a novel retrieval, tool use, sub‑agent, or memory architecture for Claude

• Fine tuning Claude to maximize its performance using a particular set of agent tools (e.g., a read‑write memory or an inter‑agent communication system)

• Designing and validating pipelines for creating Agent Skills for specific use cases (e.g., financial analysis, code generation, document processing) with measurable performance improvements

• Building evaluation frameworks to test Agent Skills effectiveness across diverse agentic workflows, and identifying optimal Skills composition patterns

• Building and testing automated systems for Agent Skills creation

Compensation

The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.

$340,000 – $560,000 USD

Logistics

Education…