СШАSoftware Engineer, Full Stack
4 нед. назад
СШАHybrid
software engineering
Full Stack Software Engineer role owning features end-to-end across 's AI evaluation platform.
О компании
- is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it.
- Tens of millions of people use each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do.
- We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus.
Обязанности
- We're looking for a Full Stack Software Engineer to own features end-to-end across 's platform — from understanding the problem, through designing and building the solution, to shipping it, measuring its impact, and iterating. This is a hands-on IC role for someone who writes code every day, cares deeply about what happens after launch, and is excited to shape how people interact with cutting-edge AI.
Будет плюсом
- Familiarity with our stack: NextJS, React, TypeScript, Tailwind, ShadCN, HonoJS, Postgres, Vitest
- Experience with Supabase or Vercel's AI SDK
- You've shipped without PM or design support — determined what to build by talking to users or looking at data
Условия
- We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.
- Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
- The opportunity to work on cutting-edge AI with a small, mission-driven team
- A culture that values transparency, trust, and community impact
- Come help build the space where anyone can explore and help shape the future of AI.
Другое
- Own features from technical scoping through deployment and post-launch iteration — not just build them, but make sure they work
- Design and extend schemas, APIs, and business logic to support new product capabilities
- Ship high-quality product code across the stack
- Incorporate real user feedback — from data, direct user contact, or your own product instincts — to improve what you've shipped
- Work closely with ML researchers to turn research services to production, making them consumable for product development
- Collaborate across design, product, and engineering to figure out what to build, not just how
- Identify and advocate for improvements to development, testing, and deployment practices
- 3+ years of experience in software engineering, with a focus on enterprise or developer facing product development
- Experience building user-facing web applications spanning frontend, backend/API, and database — in any stack. You understand the request lifecycle across layers
- Clear, concise communication — you explain technical decisions well, distinguish your work from the team's, and proactively share context
- Evidence of shipping and iterating — you can describe the full arc of a feature you owned: problem, solution, code, what happened after launch, and what you'd change now
- A product engineering identity — you care about whether the thing you built actually worked for users, not just whether the code was clean
- Genuine curiosity about AI evaluation and 's mission — you've looked at the product and can articulate why this domain matters to you