thinkingmachines

Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.

$350k - $475k

Thinking Machines Lab is seeking a Research Engineer focused on developer experience to build and enhance their Tinker platform. This role involves working hands-on with users to understand their challenges and translate them into product improvements. You will be responsible for creating and updating documentation, adding library features, prototyping integrations, and ensuring users can smoothly customize frontier AI models. This position acts as a crucial link between Tinker users and the internal research and infrastructure teams, surfacing user patterns to inform product and infrastructure priorities and sharing learnings through various channels.

$350k - $475k

Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.

$350k - $475k

Thinking Machines Lab is seeking a Site Reliability Engineer (SRE) to ensure the end-to-end reliability of their Tinker platform. This role involves working closely with engineers and research teams to enhance the robustness and resilience of every system layer. The SRE will be instrumental in maintaining and improving the infrastructure that supports custom AI model fine-tuning, ensuring a seamless experience for researchers and developers.

$350k - $475k

Thinking Machines Lab is seeking pre-training researchers to join their mission of advancing collaborative general intelligence. This role is central to developing the next generation of AI models by blending research with large-scale data engineering. You will be responsible for assembling pre-training datasets and data systems, designing and implementing methods for sourcing, curating, and analyzing data for quality and performance. The position involves working with automated pipelines and human-in-the-loop processes, contributing both scientific insights and production-grade code. It's an ideal opportunity for individuals passionate about the intersection of data, machine learning, and systems, and who are eager to shape the future of AI.

$350k - $475k

Thinking Machines Lab is seeking researchers to bridge the gap between raw AI intelligence and useful, safe, and collaborative systems. This role focuses on post-training data research, combining human insight and machine learning techniques to capture and steer model behavior based on human preferences. You will be responsible for translating research ideas into actionable data through labeling and collection campaigns, understanding data quality science, and developing metrics to measure the impact of data and training interventions. The position also involves exploring new paradigms for human-AI interaction and scalable oversight, blending research, data operations, and technical implementation to advance human-centered AI systems. This role requires both fundamental research and practical engineering, making it ideal for individuals who enjoy deep theoretical exploration and hands-on experimentation.

$350k - $475k

Thinking Machines Lab is seeking an infrastructure research engineer to design and build core systems for efficient large-scale model training, with a specific focus on numerics. This role involves enhancing the numerical foundations of their distributed training stack, optimizing precision formats, kernel optimizations, and communication frameworks to ensure stable, scalable, and fast training of trillion-parameter models. The ideal candidate will bridge research and systems engineering, possessing a strong understanding of both optimization mathematics and distributed compute realities.

$350k - $475k

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and maintain the compute foundations for large-scale language model training. This role involves developing high-performance ML kernels, enabling efficient low-precision arithmetic, and improving the distributed compute stack. You will work closely with researchers and systems architects, bridging algorithmic design with hardware efficiency, prototyping new kernel implementations, and defining numerical and parallelism strategies for scaling AI systems.

$350k - $475k

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. The goal is to make inference faster, more cost-effective, more reliable, and more reproducible, enabling research teams to focus on advancing model capabilities. This role is crucial for ensuring that every experiment, evaluation, and deployment runs smoothly at scale, with a focus on performant and efficient model inference for both real-world applications and research acceleration.

$350k - $475k

Thinking Machines Lab is seeking an infrastructure engineer to lead and enhance the security infrastructure for their foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. The engineer will define security controls, architecture, and tooling, integrating security by default into the platform. Collaboration with research and product teams will be key to enabling rapid progress while maintaining robust protection for models, data, and environments.

$200k - $475k

Thinking Machines Lab is seeking a Software Engineer to own the platform systems that power Tinker, their fine-tuning API. This role involves developing and maintaining critical components such as billing and usage metering, permissions and access control, organization and team management, data export functionalities, and audit logging. You will collaborate closely with product, legal, and other cross-functional teams, ensuring that new features, pricing adjustments, and enterprise deals are seamlessly integrated into the platform. This is an opportunity to grow a rapidly expanding platform and contribute to the Tinker community.

$350k - $475k

Thinking Machines Lab is seeking a Software Engineer focused on security to ensure their AI products are secure by default while enabling rapid product iteration. This role involves embedding with product and research teams to integrate security into the design and development process, as well as building tools and automation to maintain system safety at scale. The company is dedicated to advancing collaborative general intelligence and empowering users with AI tools tailored to their needs.

$350k - $475k

Thinking Machines Lab is seeking generalist infrastructure and systems engineers to build the core systems powering their foundation models and support internal research and product development teams. This high-impact role involves architecting and scaling critical infrastructure across the full technical stack, solving complex distributed systems problems, and building robust, scalable platforms. You will work directly with researchers to accelerate experiments, improve infrastructure efficiency, and enable key insights across models, products, and data assets.

$350k - $475k