Senior Human-AI Collaboration Research Engineer, Education Labs at Anthropic

San Francisco, California, United States

Anthropic Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Education, TechnologyIndustries

Requirements

  • Strong full-stack engineering experience
  • 6+ years building and shipping web products, with deep expertise across the stack
  • Strong front-end skills: TypeScript/JavaScript, React, HTML/CSS, with an eye for clean, intuitive interface design
  • Solid back-end and data pipeline experience: Python, API design, data analysis infrastructure
  • Track record of independently driving features from prototype to production quality
  • Comfort working as a technical "one-person shop" (implied from role description)

Responsibilities

  • Build and ship features that help users develop skills in working with AI and translate those skills into their own capability growth—measuring success by skill development and product mastery, not just engagement
  • Architect and implement end-to-end prototypes (front-end and back-end) that test new interaction paradigms for skill development with AI, including novel uses of Claude as a skill-building partner
  • Define technical direction and quality standards for capability-focused product work in a research context—you'll establish patterns others can follow
  • Collaborate with researchers to translate insights about skill development and human-AI collaboration into shipped product experiences
  • Work closely with product, design, and research teams across Anthropic to influence how skill development principles shape our broader product strategy
  • Analyze product data and user behavior using quantitative and qualitative methods to understand how users develop skills with AI and what actually helps them become more capable
  • Document and share your work through clear technical writing, prototypes, and presentations that influence thinking across the organization
  • Elevate team craft through thoughtful code reviews, technical discussions, and knowledge sharing—helping others grow their skills
  • Influence research priorities and team strategy while mentoring through technical leadership—establishing patterns, stakeholder coordination, reviewing code, and sharing expertise

Skills

Full-Stack Development
Prototyping
UI Design
AI Integration
Product Engineering
Research Engineering

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$11,482.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.
Technological lag behind competitors like OpenAI may impact market position.
Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.
Claude, Anthropic's AI assistant, is designed for tasks of any scale.
Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.
Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.
Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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