JAX Jobs
75 open roles mentioning JAX
Member of Technical Staff, Research
fireworks ai
Fireworks is seeking a Member of Technical Staff for its Research team to push the boundaries of generative AI. This role involves advancing LLMs and multimodal systems through foundational research, focusing on enhancing model efficiency, accuracy, and scalability to shape high-performance AI infrastructure. You will collaborate with experts in deep learning, distributed systems, and optimization to translate cutting-edge research into practical applications and influence how leading companies build and deploy AI.
Research Engineer, Infrastructure, Inference
thinkingmachines
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
Software Engineer, Research Acceleration
thinkingmachines
Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, and build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.
$350k - $475k
Research Infrastructure Engineer, Research Acceleration
thinkingmachines
Thinking Machines Lab is seeking engineers to build the libraries and tools that accelerate research. You will own internal infrastructure, including evaluation libraries, RL training libraries, and experiment tracking platforms, to build systems that compound research velocity over time. This is a collaborative role where you will work directly with researchers to identify bottlenecks and pain points. Success means researchers trust your systems to just work and find them a delight to use.
$350k - $475k
Computer Vision AI & ML Engineer
Skild
Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.
Applied Scientist / Research Engineer
Mistral AI
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop state-of-the-art models across different modalities such as text, image, and speech. By developing novel methods and research ideas, you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams, you will deliver high-impact AI solutions that turn the needle.
Senior/Staff Applied Scientist/Research Engineer
Mistral AI
Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop state-of-the-art models across different modalities such as text, image, and speech, applying novel methods and research ideas to diverse use cases and domains. Working cross-functionally with science, engineering, and product teams, you will deliver high-impact AI solutions. We are a dynamic, collaborative team passionate about AI and its potential to transform society, with teams distributed across France, USA, UK, Germany, and Singapore.
AI research scientist
Writer
AI research at WRITER focuses on building the scientific foundation for ambitious enterprise AI deployments. As a staff AI research scientist, you will drive a high-impact research agenda centered on large language models, agentic reasoning, and system-level capabilities essential for enterprise-scale AI. This role offers a unique opportunity to advance the field while directly contributing to products used by hundreds of thousands daily. You will work on post-training, planning, multi-step reasoning, and agentic workflows, directly shaping the future of enterprise AI performance and scalability. The role provides resources, infrastructure, and cross-functional support to pursue and implement ambitious ideas rapidly.
Research Intern, Model Shaping (Fall 2026)
Together AI
As a Research Intern in the Model Shaping team, you will work on advanced post-training methods, new techniques for efficient neural network training, and robust evaluation of foundation model capabilities. The Model Shaping team at Together AI focuses on tailoring open foundation models for downstream applications, building services for machine learning developers, and developing new methods for efficient model training and evaluation. This role offers the opportunity to contribute to cutting-edge research and potentially influence open-source projects.
Frontier Agents Intern (Fall 2026)
Together AI
The Agents team investigates how to build, align, and scale frontier AI systems capable of complex, multi-step tasks and workflows across text and speech, with a focus on agentic and scientific domains. This role sits at the intersection of agent capabilities, human-computer interaction, and infrastructure, exploring areas like post-training methods for agentic behavior and developing evaluation frameworks for open-ended tasks. As a research intern, you will tackle challenges in alignment, reliability, and scalability, potentially working on new training recipes for self-learning and long-horizon reasoning, curating datasets, studying failure modes, or building scalable agent infrastructure.
Software Engineer, AI Training and Infrastructure
Skild
Skild AI is seeking a Software Engineer to develop and optimize the software infrastructure and tools for training cutting-edge AI models. This role involves building scalable and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to integrate new algorithms and techniques, pushing the boundaries of AI in real-world robotics. The position also focuses on exploring efficient data utilization within training pipelines.
Software Engineer, AI Inference
Skild
Skild AI is seeking a Software Engineer to join their team and work on deploying cutting-edge AI models for embodied systems. This role focuses on optimizing AI inference processes for models ranging from lightweight to billion-parameter scale, ensuring robots operate efficiently and intelligently in real-world scenarios. You will bridge the gap between systems and machine learning, directly enhancing AI model power and adaptability by maintaining consistent performance under varying compute and hardware constraints.
Computer Vision AI & ML Engineer
Skild
Skild AI is seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.
Research Engineer, Materials Science
Google DeepMind
Google DeepMind is seeking a Research Engineer to join their materials science team. This role involves accelerating the discovery of new functional materials by integrating artificial intelligence, computational simulation, and automated experimentation. You will collaborate with a diverse interdisciplinary team of domain experts, ML researchers, and engineers. The work focuses on pioneering research in various scientific domains, enabling the validation of early ideas and building infrastructure for promising research lines. You will contribute your scientific domain knowledge to the team's collective expertise.
$141k - $202k
AI engineer
Writer
WRITER is seeking an AI Engineer to join their team and shape how enterprises leverage AI. This role involves building tangible AI solutions that power the future of work for leading companies. You will directly impact the performance, scalability, and ethical alignment of cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented productivity and innovation with AI grounded in their data.
AI engineer (UK)
Writer
WRITER is a leading enterprise AI platform that empowers businesses to orchestrate AI-powered work and expand human capacity through superintelligence. We build powerful, trustworthy AI solutions that unite IT and business teams for enterprise-wide transformation. Our end-to-end platform enables companies to build and deploy AI agents grounded in their data and fueled by enterprise-grade LLMs. As an AI Engineer, you will be at the forefront of shaping how enterprises harness superintelligence by building tangible AI solutions that power the future of work. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation.
Machine Learning Research Scientist, Reasoning
Scale AI
This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.
$252k - $315k
Senior / Staff Machine Learning Research Scientist, Agents
Scale AI
This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.
$302k - $378k
Research Engineer, Multimodal Reasoning For Information Literacy
Google DeepMind
Google DeepMind's research team is dedicated to tackling complex challenges in online information quality, advancing the state of the art by developing innovative solutions to detect manipulated media and misleading narratives. The team leverages interdisciplinary work spanning provenance analysis and the creation of tools for AI-assisted information literacy, with a focus on ensuring the integrity of digital discourse and a safer online environment. This role involves researching and building multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media on the internet, with a passion for advancing information literacy using machine learning and computational techniques.
Research, Pre-Training Data
thinkingmachines
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