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

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 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.

The role involves enhancing Tinker's developer experience by writing code examples, debugging user issues, and collaborating with teams to improve the product and documentation.

As an Infrastructure Engineer focused on security, you will enhance and manage security infrastructure for foundational AI models, collaborating across teams to ensure secure and scalable operations.

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

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

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

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

Develop and maintain full stack applications focusing on APIs, UX, system reliability, security, and collaboration across teams.

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

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

The Infrastructure Engineer will manage onboarding, identity provider services, network security, remote working technologies, and macOS fleet compliance.

As an Infrastructure Research Engineer, you'll design and implement systems for scaling Tinker, optimizing GPU utilization, and developing frameworks to improve performance while collaborating with researchers and developers.

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

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

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

The role requires prototyping and launching new products, maintaining existing UIs, building internal tools, evolving frontend infrastructure, and improving developer experience.