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Anthropic

Applied AI Research Engineer

LocationSan Francisco, CA | New York City, NY
SetupHybrid
LevelSenior
Posted4d ago
Engineering & Technology

Quick answer

Anthropic is hiring a senior Applied AI Research Engineer with a salary range of $300,000—$400,000 USD for a location-based hybrid role in San Francisco, CA or New York City, NY.

Role
Applied AI Research Engineer
Organization
Anthropic
Location
San Francisco, CA | New York City, NY
Work setup
Hybrid
Level
Senior
Compensation
$300,000—$400,000 USD
Category
Engineering & Technology

The role

As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.

What you'll do

  • Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
  • Own the technical<>GTM handshake for model and product launches—early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
  • Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
  • Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
  • Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
  • Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge

What it takes

  • 6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role—ideally with some exposure to customers or end users
  • A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
  • Meaningful experience building with large language models—whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
  • Experience designing evals, building prototypes, or developing technical enablement for complex products
  • The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
  • Curiosity about what AI models can actually do—enjoy probing the edges of new capabilities and figuring out what use cases just unlocked

What you'll bring

Strong technical aptitude with strong proficiency in at least one programming languageMeaningful experience building with large language modelsExperience designing evalsbuilding prototypesor developing technical enablement for complex productsExcellent communication and interpersonal skills

How we treat you

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

Frequently asked questions

Where is the job located?

San Francisco, CA or New York City, NY

What is the compensation range?

$300,000—$400,000 USD

What are the key qualifications required?

6+ years of experience, strong technical aptitude, meaningful experience with large language models, experience with evals and prototypes, ability to build domain expertise, curiosity about AI models

How do I apply?

Apply now on Anthropic's careers page.

How to apply

Apply directly on Anthropic's site. We link straight through — no resume parsing, no profile to fill out.

Apply now →

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Anthropic's official posting before applying.