Jobs at Thinking Machines Lab

You'll own the platform systems that power Tinker's fine-tuning API, including billing, access control, and multi-tenant infrastructure. You'll collaborate across product, legal, and enterprise teams to enable new features and deals. This role offers the chance to shape foundational systems at a leading AI lab.

You'll build evaluation libraries, RL training tools, and experiment tracking platforms for a team of AI researchers. Your work will compound **research velocity** and help unlock **new capabilities**. You'll partner directly with scientists to identify and solve bottlenecks.

You'll design and build core systems for scalable, efficient training of large models through reinforcement learning, working at the intersection of research and large-scale systems engineering. Your work will involve optimizing rollout and reward pipelines, enhancing reliability and observability, and collaborating with researchers to make reinforcement learning stable, fast, and production-ready.

You'll drive complex, high-impact technical products spanning research, infrastructure, and applied. You'll turn ambitious ideas into reality by coordinating cross-functional efforts. This role connects people, ideas, and systems to accelerate research initiatives.

You'll design and build core systems for scalable, efficient training of large models. You'll ensure every GPU cycle drives scientific progress by optimizing distributed training across thousands of GPUs. This role blends deep systems expertise with **machine learning at scale** and **ownership of the training stack**.

You'll design and build core systems for efficient large-scale model training, focusing on numerics and distributed infrastructure. You'll improve **numerical foundations** of our training stack, from precision formats to communication frameworks. This role sits at the intersection of research and systems engineering.

You'll design and implement the full compensation framework at a leading AI lab. Your work directly impacts our ability to hire and retain exceptional talent. You'll build **equity compensation programs** and advise leadership on **pay decisions** in a fast-moving market.

You'll design and optimize the systems that power large AI models, making inference faster and more cost-effective. You'll collaborate with researchers to bring cutting-edge models into production and enable high-performance inference for novel architectures. This role focuses on performant and efficient model inference to power real-world applications and accelerate research.

You'll lead a team of senior and staff engineers at Thinking Machines Lab, building and scaling **ML infrastructure** and **product systems**. Your core impact involves **owning architecture and long-term technical direction** while contributing directly to design and debugging. This role combines hands-on work with strategic leadership.

You'll support 3-4 technical leaders in a fast-moving AI startup, ensuring focus and organization. You'll manage **calendars, scheduling, travel, and recruiting coordination**, acting as a key liaison across the company. This role offers **real autonomy** and creative problem-solving in a non-traditional EA capacity.

You'll own research projects on **multimodal AI models** and **large-scale dataset curation** at Thinking Machines Lab. Your work will directly shape how AI understands vision and language together. This role blends fundamental research with practical engineering in a unified team.

You'll advance how we build software internally by focusing on **AI tools and coding agents**. Partnering with platform, security, and product engineers, you'll build **state-of-the-art tooling for AI-assisted software development** to make our inner loop dramatically faster. This role includes setting up company-wide platforms and accelerating individual developer workflows.

You'll advance the frontier of audio capabilities at Thinking Machines Lab, working on multimodal-first AI systems. You'll own research projects on audio training and low-latency inference, collaborating with world-class researchers and engineers. This role blends **fundamental research** with **hands-on engineering**.

You'll design and optimize high-performance ML kernels for large-scale language model training at Thinking Machines Lab. You'll collaborate with researchers to bridge algorithmic design with hardware efficiency and prototype kernel implementations across GPU architectures. This role offers the chance to work on cutting-edge AI infrastructure used by products like ChatGPT and PyTorch.

You'll join as the first technical sourcer to build a pipeline for exceptional candidates at a leading AI lab. You'll develop sourcing strategies and nurture relationships to attract top researchers and engineers. This role offers **high autonomy** and **impact on early-stage hiring** at a company founded by AI pioneers.

You'll build and ship products from prototype to scale, working across frontend and backend components. You'll contribute to reliability, observability, and security in production. This is an evergreen role to express interest for future opportunities.

You'll join a small, high-impact team building **core infrastructure** for **foundation models**. You'll work across the full stack to solve distributed systems problems and scale platforms that enable research and product breakthroughs.

You'll advance pre-training methods for large models at **Thinking Machines Lab**, a team behind ChatGPT and PyTorch. You'll explore new architectures and learning objectives **to make model training efficient and aligned with human goals**. This role blends fundamental research with hands-on engineering.

You'll partner with product and research teams to embed security into the development lifecycle at Thinking Machines Lab, building **secure-by-default systems** for cutting-edge AI products. You'll design and implement security controls and tooling that keep systems safe at scale **while supporting fast product iteration**.

You'll define how people experience our AI, owning the full stack from customer interface to model behavior. You'll co-design AI model experiences with researchers and engineers, combining design instincts with cutting-edge AI understanding. This role offers the opportunity to shape collaborative general intelligence at a company founded by top AI researchers.

You'll own and evolve the security infrastructure that underpins our foundation models, partnering with research and product teams. You'll shape controls, architecture, and tooling so that **security is part of the platform by default**. This role offers the chance to work on **high-impact AI infrastructure** at a lab founded by industry pioneers.

You'll join a small, high-impact team responsible for **architecting and scaling** core infrastructure for distributed training and multimodal data catalogs. You'll work directly with researchers to accelerate experiments, develop new datasets, and improve **system efficiency** across petabytes of data. This role offers the chance to build from the ground up using open-source tools like **Spark, Kafka, and Ray**.

You'll design data collection and synthesis strategies for post-training, combining human feedback and synthetic data to guide model behavior. Your work directly bridges raw model intelligence and useful, safe, collaborative AI. This role blends fundamental research and practical engineering in a fast-paced environment.

You'll combine leadership coaching with people systems design at an AI research lab. You'll coach managers to be effective leaders and build scalable HR infrastructure. This role offers a chance to shape people operations in a cutting-edge AI company.

You'll design, build, and operate the GPU supercomputing environment powering large-scale training and inference. You'll deliver **high-performant, reliable, and cost-efficient compute** so researchers can move fast at scale. This role involves **partnering with researchers** to unblock scale runs and advise on parallelism.

You'll develop and tune post-training recipes for large models at **Thinking Machines Lab**, a team behind AI products like ChatGPT and PyTorch. This role sits at the **core of the roadmap**, blending research and engineering to make AI collaborative and safe. You'll iterate on training recipes, evals, and scaling methodologies while publishing impactful research.

You'll serve as the main customer contact for Tinker's fine-tuning API, diagnosing issues and turning feedback into product improvements. You'll own both triage and resolution across the full stack. This role combines deep technical work with direct customer impact at a cutting-edge AI company.

You'll design and implement methods for sourcing, curating, and analyzing **pre-training datasets** for frontier AI models at Thinking Machines Lab. Your work will directly shape **how AI learns** by improving data quality and system scalability. This role blends **fundamental research with production-grade engineering** in a collaborative environment.

You'll drive the reliability of Tinker, our fine-tuning API, end-to-end. You'll work alongside engineers and research teams to make every layer of the system more robust and resilient. This role offers the chance to shape reliability for a rapidly growing AI platform.

You'll build the products and services that Tinker users interact with every day, working across frontend, backend, and infrastructure. Your core impact will be shipping the **Tinker console**, **developer tools**, and whatever the platform needs most. This role stands out because you'll empower researchers to customize frontier AI through a fine-tuning API.

You'll own **privacy strategy** and advise on **advanced AI development** for the company behind ChatGPT and PyTorch. Your work will directly shape legal frameworks for cutting-edge AI systems, balancing innovation with user protection and mission alignment.