Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
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.
We’re hiring a designer to define how people experience our artificial intelligence. You will own aspects of the whole stack, from the interface used by our customers and developers to the model behavior itself. Along with our researchers and engineers, you will co-design AI model experiences that feel intuitive, empowering, and crafted with care.
You will need to combine your design instincts with an understanding of how cutting-edge AI is trained and evaluated. This role requires exceptional taste, conceptual thinking, and the technical skills to ship your work in code.
What You’ll Do- Design end-to-end product experiences from early concepts and high-fidelity prototypes through high-fidelity UI and implementation in code.
- Contribute to our design system that helps a small team move fast without sacrificing craft.
- Participate in model training and evaluation to guide model behavior with AI researchers.
- Contribute to brand, storytelling, demos, and external-facing materials as needed.
Minimum qualifications:
- Portfolio demonstrating exceptional visual craft and strong interaction design.
- Codes and ships their own work — not mockups, but live prototypes and real features.
- Track record of taking ownership and initiative in ambiguous and dynamic situations.
- Interest in AI development: evals, post-training, model behavior.
Preferred qualifications — we encourage you to apply if you meet some but not all of these:
- Experience with production frameworks (React, Swift, or similar).
- Track record of using AI tools and agents to accelerate your design and development workflows.
- Prior design work on AI products or other novel interaction paradigms where established design patterns don't exist yet.
- Familiarity with machine learning concepts.
- Experience contributing to or building design systems and component libraries.
- 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 $350,000 - $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.
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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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