JAX Jobs

At Thinking Machines, we build tools that empower individuals to customize AI models for their specific needs, including the ability to train model weights. In this role, you will focus on frontier customization techniques and contribute to developing a leading post-training engine called Tinker. Your work will involve a comprehensive understanding of Reinforcement Learning (RL) science, and your findings will directly influence Tinker's training defaults, API design, and the open-source Tinker Cookbook. You will collaborate with internal research teams and contribute to open science initiatives for external partners.

$350k - $475k

Thinking Machines is building AI that extends human will and judgment, with a focus on training frontier models and developing tools that allow users to customize AI for their unique needs. This role leads the Fine-tuning Science team, focusing on frontier customization techniques and the Tinker post-training engine. It's a player-coach position where you will remain hands-on with scientific research while also guiding the team, shaping its direction, and ensuring research findings are integrated into Tinker. You will collaborate with internal research teams, contribute to open science, and engage with external users.

$350k - $475k

NVIDIA is at the forefront of the AI revolution, exploring the next frontier of Physical AI, which involves machines that can perceive, reason about, and act within the three-dimensional world. The NVIDIA Cosmos platform provides open foundation models for Physical AI, designed to interpret images, video, and text to create a structured understanding of physical scenes, including motion, object interactions, geometry, and physical context. These models serve as the reasoning layer for robots, autonomous vehicles, and smart infrastructure. The Cosmos Engineering team is responsible for developing the core capabilities behind these models and is seeking a Senior Deep Learning Engineer to lead the data engine and end-to-end training verification for 3D spatial reasoning and perception. This role involves ensuring models accurately learn and represent 3D spatial concepts, working closely with research scientists to translate hypotheses into measurable capabilities in shipped models, and focusing on the critical role of data and evaluations in achieving frontier model quality.

NVIDIA is seeking versatile software engineers for its XLA team to build high-performance, production-grade software at the core of next-generation AI systems. This role involves developing compiler optimization algorithms for deep learning workloads, optimizing inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You will collaborate with deep learning framework and hardware architecture teams to accelerate future AI software.

$152k - $288k

Anthropic

The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML-based safety systems. This role involves collaborating closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production, owning the research-to-production transfer of new safety technologies critical for every Claude model launch. The team builds for scale, serving thousands of ML classifiers for all requests on the token generation path and for every platform Claude runs on. Engineers will work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing platforms and tools that enable safeguards to operate reliably at scale, with tooling and infrastructure used for every model launch.

$320k - $485k

At Suki, we are building technology that automates clinical documentation in real-time using cutting-edge AI, significantly reducing the administrative burden on clinicians. Our platform powers voice-enabled healthcare experiences across various platforms, aiming to make clinicians' lives better. The Machine Learning team is central to this mission, driving innovation and enhancing our AI capabilities. You will leverage your NLP expertise to improve our computational infrastructure, technical approaches, and algorithms. Working directly on the platform, you'll collaborate with cross-functional teams to tackle NLP challenges and scale our services. This role involves managing and curating large datasets, monitoring system performance, and staying abreast of the latest advancements in NLP and Generative AI to maintain our competitive edge.

$225k - $250k

Physical Intelligence is developing foundation models and learning algorithms to power future physically-actuated devices. In this role, you will be instrumental in scaling and optimizing our training systems and core model code. You will take ownership of critical infrastructure for large-scale training, encompassing GPU/TPU compute management, job orchestration, and the creation of efficient, reusable JAX training pipelines. This position offers a hands-on, high-leverage opportunity at the intersection of machine learning, software engineering, and scalable infrastructure, working closely with researchers and model engineers to translate innovative ideas into production-ready training runs.

NVIDIA is seeking a motivated Deep Learning engineer to integrate advanced CUDA features and Distributed Runtime technologies into AI stacks, including frameworks like PyTorch, TRT-LLM, vLLM, SGLang, and JAX. You will join the team responsible for core CUDA features and runtimes that scale Deep Learning and HPC applications, addressing diverse multi-GPU demands from large-scale training to low-latency inference. Your work will enhance the productivity and performance of AI applications, accelerating community adoption through AI toolkits. This role offers a significant opportunity to advance the state of the art in AI technologies.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to enhance the Python experience for its foundational CUDA Core Libraries. This role involves building Pythonic APIs, language bindings, algorithms, and runtime infrastructure that sit on top of native C/C++ foundations. You will contribute to the core libraries and infrastructure that make CUDA a high-performance platform for developers and AI coding agents. The position requires a strong focus on designing and implementing efficient, reliable, and scalable GPU-accelerated software, with an emphasis on improving the Python developer experience through robust tooling and clear documentation.

$184k - $357k

NVIDIA is seeking a Senior Software Engineer to advance the C++ foundation of CUDA Core Libraries. This role involves designing and optimizing high-performance algorithms and APIs for C++ developers, contributing to the foundational libraries, algorithms, and language/runtime infrastructure that power CUDA. You will be responsible for the full lifecycle of features, from design and implementation to testing, profiling, and maintenance, ensuring a speed-of-light experience for developers and AI coding agents.

$184k - $357k