Software Engineer, Product

Posted Yesterday
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San Francisco, CA, USA
Hybrid
300K-475K Annually
Senior level
Artificial Intelligence • Information Technology
The Role
Build and ship AI-powered products from prototype to production. Develop full-stack web features, including backend services, APIs, and polished frontend interfaces. Collaborate with researchers, product managers, and designers to translate model capabilities into usable experiences. Own technical architecture, scalability, reliability, and maintainability while making pragmatic tradeoffs in ambiguous environments. Help establish engineering practices and standards for a growing product engineering team.
Summary Generated by Built In
About Thinking Machines

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.

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.

What You'll Do
  • 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.

Skills & QualificationsMinimum Qualifications
  • 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.

Preferred Qualifications
  • 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.

Logistics
  • Location: This role is based in San Francisco, California.

  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $475,000 USD.

  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

Skills Required

  • 5+ years of professional software engineering experience
  • Demonstrated ownership across frontend and backend systems
  • Strong track record shipping production web applications end to end
  • Experience with data model and API design through user-facing interfaces
  • Comfort working in ambiguous, fast-changing environments
  • Experience making pragmatic technical tradeoffs while managing technical risk
  • Experience building products on large language models or frontier AI systems
  • Strong product sense
  • Experience as an early or founding startup engineer, or leading a product from zero to one
  • Familiarity with modern frontend frameworks and interface design and usability
  • Experience with distributed systems, infrastructure, or backend performance at scale
  • Experience collaborating with researchers, designers, or other non-engineering partners
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The Company
HQ: Singapore
91 Employees

What We Do

Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

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