Software Engineer, Frontier Prototyping at ANTHROPIC PBC DBA ANTHROPIC INC

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

485000.0

Posted On

03 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Full Stack Development, User Experience, Rapid Prototyping, Web Development, APIs, Databases, Cloud Technologies, Communication Skills, User Empathy, Collaboration, AI Technologies, Usability Testing, Design Systems, B2B Product Development, B2C Product Development

Industry

Research Services

Description

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: At Anthropic, we're building AI systems that are helpful, harmless, and honest. Our mission is to develop AI that benefits humanity, and we believe the most transformative capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Every new capability we develop has the potential to reshape how people work, learn, and create. Frontier Apps serves as Anthropic's innovation team, exploring how emerging AI capabilities can transform user experiences and unlock entirely new ways for people to interact with AI systems. Within Frontier Apps, the Frontier Prototyping team focuses on rapidly building and testing new user experiences to validate emerging capabilities and gather insights that advance our models. We are seeking a versatile and collaborative Full Stack Engineer to join the Frontier Prototyping team. In this role, you will work closely with both customers and researchers to create innovative interfaces and interactions that unlock new model capabilities while gathering critical feedback. You'll be at the intersection of cutting-edge research and real-world application, building prototypes that shape the future of human-AI interaction. Responsibilities: Rapidly prototype full stack applications that showcase emerging AI capabilities in novel user experiences Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user interfaces Build and deploy prototypes for internal test users and external partners, shipping early and often to maximize learning Work directly with customers and early access partners to gather feedback, iterate quickly, and validate product concepts Coordinate across multiple teams at Anthropic to ensure prototypes integrate with existing infrastructure and capabilities Advocate for user experience considerations in the research and development process Provide valuable feedback to research teams about the effectiveness of new model capabilities and where model quality can be improved Generate insights and documentation to guide transition of successful prototypes to full product teams Flexibly contribute to various frontier initiatives based on organizational priorities and emerging opportunities You might be a good fit if you: Have 8+ years of experience building full stack applications with a focus on user experience and rapid iteration Have experience with rapid prototyping, including discarding prototypes and ending projects based on what you learn Thrive in both startup-style zero-to-one environments and larger organizational settings Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) Are comfortable working with APIs, databases, and cloud technologies Possess strong communication skills and user empathy to translate complex AI capabilities into intuitive experiences Are results-oriented with a bias toward flexibility, impact, and continuous learning Enjoy collaborating closely with cross-functional teams including researchers, designers, and product managers Pick up slack, even if it goes outside your job description Want exposure to cutting-edge AI research and its practical applications Care about the societal impacts and ethics of your work Strong candidates may also: Have experience building products that involve AI/ML components or APIs Have worked with large language models or other AI technologies Have experience collaborating with research teams or researchers in AI/ML environments Have experience conducting user research, interviews, and usability testing Have experience with real-time applications and WebSocket implementations Have worked in customer-facing roles or directly with external partners Have experience with design systems and frontend component libraries Have background in both B2B and B2C product development Have developed products for a variety of audiences in multiple industries Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials Direct machine learning or AI research experience Deadline to apply: None. Applications will be reviewed on a rolling basis. 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. Annual Salary: $405,000—$485,000 USD Logistics 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 different We 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

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Responsibilities

The role involves rapidly prototyping full stack applications that showcase emerging AI capabilities and collaborating closely with research teams to translate model capabilities into user interfaces. Additionally, the engineer will gather feedback from customers and partners to iterate and validate product concepts.