The Post-Training Product Manager partners with researchers to bridge the gap between research and product, ensuring clarity and alignment across various technical domains.
As a Full Stack Engineer, you'll design, build, and ship AI-powered products, translating research into user-friendly interfaces while owning the technical direction.
As a Software Engineer for Research Tools, you'll design and maintain infrastructure that enhances research efficiency, collaborating closely with researchers to identify and solve their tooling needs.
This role is responsible for advancing the agentic capabilities of AI models, overseeing the full development cycle with significant autonomy and responsibility.
Join a high-leverage team to enhance AI coding capabilities through research, design, and execution of RL training jobs and data generation.
Develop reliable model evaluations for research signals, focusing on evaluation creation, usability, auditing, and efficiency in collaboration with researchers and engineers.
As an Executive Business Partner, you will support technical leaders by managing calendars, coordinating travel, and ensuring effective communication across the organization.
Design, build, and operate a sandboxing platform that isolates and constrains untrusted, model-generated code, ensuring security and scalability for concurrent executions.
As a safety researcher, you will ensure the safety and trustworthiness of AI models by designing experiments and developing techniques to handle harmful requests effectively.
This role focuses on scaling reinforcement learning for frontier models, requiring expertise in asynchronous RL algorithms and the integration of training and inference systems.
You’ll work closely with product engineers, security, researchers, and designers to bake safety and integrity into the way we design, build, and ship human-AI collaboration tools.
As an Infrastructure Engineer, you'll own and enhance the security infrastructure for foundation models, ensuring systems are secure, reliable, and scalable.
As a Software Engineer focused on security, you'll integrate security practices into product development, ensuring safe and scalable systems while collaborating with cross-functional teams.
Design and optimize systems for large AI models, ensuring efficient and reliable inference to support research and real-world applications.
As a Developer Productivity Engineer, you'll enhance software development through AI tools, streamline workflows, and collaborate with engineers to improve coding productivity.
Join a high-impact team to architect and scale core infrastructure, solving complex distributed systems challenges and enhancing developer productivity.
Lead a team of senior and staff-level engineers to build and scale reliable ML infrastructure and products, while setting technical direction and contributing to system design.
Pre-training researchers will design and implement methods for sourcing, curating, and analyzing pre-training datasets, blending research with large-scale data engineering.
As a Recruiting Sourcer, you'll build a pipeline of exceptional talent in research and engineering, partnering with teams to engage passive candidates and refine sourcing strategies.
This role involves advancing audio capabilities through research and engineering, focusing on model training, data pipelines, and collaboration with cross-functional teams.
Design and optimize distributed training infrastructure for large-scale AI models, focusing on numerics and improving performance, stability, and reproducibility.
As a Research Product Manager, you will drive complex technical products and programs, ensuring alignment and efficiency across research initiatives and cross-functional teams.
Design, optimize, and maintain compute foundations for large-scale language model training, developing high-performance ML kernels and collaborating with research teams.
Design and build scalable infrastructure for training large AI models, ensuring efficiency and reliability to support research teams at Thinking Machines.
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