Jobs at Thinking Machines Lab

Serve as the San Francisco office front desk and hospitality lead: greet and check in visitors, manage badges and building access, coordinate mail, vendors, and deliveries, support interviews and events, maintain meeting rooms and common areas, and proactively improve workplace visitor experience.

The role involves building tools for AI-assisted software development, optimizing workflow, and maintaining secure development environments.

The Software Engineer, Data Infrastructure will design scalable systems for data processing and orchestration, collaborating with teams to enhance data quality and accelerate research.

The Site Reliability Engineer will drive reliability for the Tinker platform, focusing on incident response, monitoring, and ensuring system resilience while collaborating across teams.

As a Research Product Manager, drive complex research products, translate technical ideas into plans, collaborate across disciplines, and maintain progress communication.

The Forward Deployed Engineer will support customers by diagnosing issues, improving products, building tools, and informing Tinker's roadmap.

The role focuses on designing and implementing data curation techniques for AI pre-training datasets, ensuring quality, collaboration, and continuous improvement of data processing systems.

The Research Engineer will design, optimize, and scale systems for large AI models, enhancing performance, reliability, and efficiency in model inference and deployment.

Design and optimize large-scale distributed training infrastructure, focusing on numerical methods to enhance efficiency and stability in AI model training.

The role involves designing and optimizing distributed training systems for large models to enhance research efficiency and productivity in AI.

Design, build, and operate GPU supercomputing environments, automate large GPU clusters, and collaborate with researchers to optimize performance and resources.

The Software Engineer at Tinker will develop the platform systems for billing, permissions, and data management. Responsibilities include designing authorization layers and managing end-to-end billing infrastructure, collaborating with teams, and ensuring compliance with enterprise requirements.

Design and build infrastructure for scalable reinforcement learning, optimize RL training pipelines, and collaborate with researchers on production-grade solutions.

The role involves designing and optimizing ML kernels for large-scale language model training, collaborating on algorithmic design, and enhancing compute efficiency.

As a Software Engineer, you'll develop and maintain systems for AI models, enhance infrastructure, and collaborate across teams on product development.

Develop architectures and datasets for multimodal AI, run large scale experiments, and publish research to advance understanding of visual perception and reasoning.

The role involves researching and developing new pre-training methodologies for AI, requiring a blend of theoretical exploration and practical engineering. Responsibilities include designing experiments, collaborating on large-scale research, and publishing findings.

The Post-Training Researcher develops post-training recipes, iterates evaluations, debug training configurations, and publishes research to advance AI knowledge.

The role requires designing data collection strategies, developing pipelines for labeling and data generation, and researching human preferences to guide model behavior. Responsibilities include evaluating data quality and scalability, as well as publishing research to advance the AI community.

Build and ship Tinker platform features across frontend, backend, and infrastructure. Implement backend services and APIs in Python and Rust, user-facing UIs with React/TypeScript, improve SDK/CLI developer experience, enhance reliability and observability, participate in on-call, and create internal tooling to support ML fine-tuning workflows and platform operations.