Product Engineer & Researcher, Education Labs

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The team consists of researchers, engineers, policy experts, and business leaders working collaboratively to build beneficial AI systems.

Responsibilities

• Design and build prototypes for new learning-oriented product features that enhance user experience and capabilities.
• Conduct empirical research on how users learn with and through AI, using both quantitative metrics and qualitative methods.
• Collaborate closely with product, design, and engineering teams to translate learning science insights into shipped features.
• Analyze product metrics and user behavior to understand learning patterns and identify opportunities for improvement.
• Partner with the Societal Impacts team to study how AI affects education and human learning more broadly.
• Write clear research and product documentation and present findings to stakeholders.
• Potentially take on expanded responsibilities like strategy setting, project prioritization, and mentoring as the role grows.

Requirements

Technical expertise

• Experience in a technical role with strong web development skills (JavaScript, React, HTML/CSS).
• Experience with Python and data analysis for research purposes.
• Ability to rapidly prototype and iterate on product ideas.

Education focus

• Background or strong interest in education, learning science, or edtech through formal education, industry experience, or personal projects.
• A well-developed point of view on how AI should enhance human learning and agency.

Team collaboration

• Experience working cross-functionally with product managers, designers, and engineers.
• Strong communication skills with ability to convey complex ideas to diverse audiences.
• Comfort with ambiguity and ability to define direction for exploratory projects.

Strong Candidates May Also Have

• Experience with user research, A/B testing, or learning analytics.
• Previous experience in a startup or fast-paced product environment.
• Published research or writing on education, learning, or human-AI interaction.
• Experience building educational products or tools.
• Familiarity with learning sciences research and pedagogical frameworks.

Benefits & Logistics

• Competitive annual salary range of $300,000 - $320,000 USD.
• Hybrid work policy requiring at least 25% office presence, with offices in San Francisco, New York City, and Seattle.
• Visa sponsorship available with reasonable effort and legal support.
• Inclusive team culture encouraging candidates from diverse backgrounds.
• Generous vacation and parental leave, flexible working hours, equity donation matching, and a collaborative office environment.

How We're Different

• Focus on large-scale, high-impact AI research as a cohesive team.
• Emphasis on communication, collaboration, and advancing steerable, trustworthy AI.
• Research grounded in empirical science, drawing parallels with physics and biology.
• Strong history of impactful projects such as GPT-3, interpretability, scaling laws, and learning from human preferences.