Full-Stack Product Engineer
Transluce · San Francisco, USA ·
- Category
- Fullstack
- Visa sponsorship
- Yes
- Company size
- 11-50
- Salary
- USD 250,000 – 500,000 / year
Salary range: $250,000 - $500,000 + benefits
Description: Transluce is a fast-paced AI start-up building the public tech stack for understanding and debugging AI systems. We build world-class, AI-backed analysis tools and use these to set industry standards for evaluation. We are a non-profit with a mission to steer the development of AI for the public good.
About the role: We're looking for an exceptional product engineer to lead the design and development of our flagship products. You will have a central seat at the table and work directly with leading experts in AI to shape the future of human-in-the-loop model understanding.
As a mission-focused non-profit, you’ll also contribute to software with high direct impact (used by governments to inform AI policy) and cross-organizational reach (our stakeholders lie across frontier labs, academia, and startups).
Core responsibilities:
- Design and build intuitive frontend interfaces for model understanding, such as:
- Docent, for analyzing long agent transcripts
- Monitor, for understanding internal model activations
- Implement scalable backend systems to power those interfaces
- Create APIs, SDKs, and protocols that interface between our products and external libraries
- Engage continuously with customers to gather requirements and feedback
- Maintain open source repositories and actively engage with the developer community
Qualities of a strong candidate:
- Excels in rapid cycles of design, implementation, testing, and iteration
- Has strong design taste and a sharp attention to detail
- Writes well-designed code that enables team-wide collaboration
- Is proficient with our current stack: Python, Typescript, Next.js, AWS, serverless container runtimes
- Has experience engaging with customers and stakeholders
- Bonus: practical experience with language models (e.g., building apps on top of LLM APIs) and familiarity with fundamental ML concepts (e.g., ability to critically assess claims about model performance)
We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas.