Similar Jobs
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.
As a Product Research Engineer on the Education Labs team, you'll join a small, mission-driven team with significant autonomy, focused on studying the impacts of AI on education and leveraging learning principles to improve our AI products. You'll combine technical prototyping, research, and product thinking to help millions of users learn more effectively with Claude.
Our team believes that learning and education are fundamental to human agency. We're working to ensure AI products are designed with learning principles in mind, creating experiences that empower users and enhance their capabilities. We also study the societal impacts of our technology and its effects on learning and education.
ResponsibilitiesDesign 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 docs and present findings to stakeholders across the organization
As you grow in the role, potentially take on expanded responsibilities including strategy setting, project prioritization, and mentoring
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
Demonstrated ability to rapidly prototype and iterate on product ideas
Education focus
Background or strong interest in education, learning science, or edtech - this could be 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 and ability to translate complex ideas for diverse audiences
Comfort with ambiguity and ability to define direction for exploratory projects
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
The expected salary range for this position is:
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
How we're differentWe 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
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
