Software Engineer, Product at Thinking Machines Lab | CA, US | Rezi

Software Engineer, Product at Thinking Machines Lab

Software Engineer, Product

Thinking Machines Lab · CA, US

1 weeks ago

Software Engineer, Product

Thinking Machines Lab · CA, US

13 days ago
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About the Role

We're hiring a Full Stack Engineer to help conceive, build, and ship new AI-powered products from the ground up. You'll work on early-stage product ideas that sit at the edge of what our models can do — moving from prototype to something real people rely on, often within weeks rather than quarters. This role sits at the intersection of product, design, and research. You'll partner closely with researchers to translate emerging model capabilities into interfaces and experiences, and with product and design to figure out what's worth building next. You'll frequently be the first engineer on a given idea, which means real ownership over both the technical direction and the product itself. We're looking for someone who is energized by ambiguity, comfortable working across the entire stack, and motivated by getting new things in front of real users quickly.

Responsibilities

  • Design, build, and ship full stack features across our web applications — from backend services and APIs to production-quality frontend interfaces.
  • Prototype rapidly with new and emerging model capabilities, turning early research results into usable product experiences.
  • Take new product ideas from a rough concept to a live surface that real users can try, iterating quickly based on feedback.
  • Partner with researchers to understand model behavior, constraints, and capabilities, and translate them into product decisions.
  • Work with design and product partners to define what to build, not just how to build it.
  • Own the technical architecture of the products you build, including decisions about scalability, reliability, and maintainability as they mature.
  • Help set engineering practices and technical standards for a growing product engineering team.

Requirements

  • 5+ years of professional software engineering experience, with demonstrated ownership across both frontend and backend systems.
  • Strong track record shipping production web applications end to end, from data model and API design through polished user-facing interfaces.
  • Comfort working in ambiguous, fast-changing environments where product direction is still being discovered.
  • Experience making pragmatic technical tradeoffs to move quickly without accumulating unmanageable risk.
  • Experience building products on top of large language models or other frontier AI systems, including working around their quirks and limitations.
  • A strong product sense — you enjoy figuring out what's worth building as much as how to build it.
  • Experience as an early or founding engineer at a startup, or leading a product from 0 to 1.
  • Familiarity with modern frontend frameworks and a good eye for interface design and usability.
  • Experience with distributed systems, infrastructure, or backend performance work at scale.
  • A history of working closely and effectively with researchers, designers, or other non-engineering partners.

Skills

  • Frontend development
  • Backend development
  • API design
  • Web applications
  • Prototyping
  • Product development
  • Technical architecture
  • Scalability
  • Reliability
  • Maintainability
  • Large language models
  • Frontier AI systems
  • Product sense
  • Startup experience
  • Modern frontend frameworks
  • Interface design
  • Usability
  • Distributed systems
  • Infrastructure
  • Backend performance

Location

  • San Francisco, California

Work Type

  • Full-time

Experience Level

  • 5+ years of professional software engineering experience

Salary/Compensations

  • $300,000 - $475,000 USD

Benefits

  • Generous health, dental, and vision benefits
  • Unlimited PTO
  • Paid parental leave
  • Relocation support

About the Company

  • The mission of Thinking Machines is to build AI that extends human will and judgment.
  • We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
  • We believe the future worth building is human, and we're hiring people who want to build it.