Senior Machine Learning Engineer - World Foundation Model

Woven by ToyotaPalo Alto, CA

On-site Full-time

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Experience Level

Senior

Qualifications

The ideal candidate should have a strong background in machine learning and robotics, with experience in developing neural networks and engaging in collaborative projects. Proficiency in Python, TensorFlow, or similar frameworks is essential. Experience with automated driving technologies and a solid understanding of the latest advancements in the field are highly desirable. Strong problem-solving skills and the ability to work effectively in a team-oriented environment are crucial.

About the job

Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (AD/ADAS), the Arene software development platform for software-defined vehicles, Woven City as a testing ground for mobility solutions, and our digital infrastructure encompassing Cloud & AI. Together, we strive toward a singular ambitious goal: a world devoid of accidents and enhanced well-being for everyone.

TEAM

At Woven by Toyota, we are pioneers in crafting advanced Machine Learning solutions aimed at autonomous driving. Our team is dedicated to overcoming innovative challenges by designing sophisticated neural networks, developing pioneering end-to-end architectures, and enhancing machine learning techniques in perception, prediction, and motion planning. We are seeking enthusiastic innovators and skilled problem-solvers who are eager to transform mobility through cutting-edge AI and robotics, directly influencing the future of autonomous vehicle technology.

Woven by Toyota is collaborating with the Toyota Research Institute (TRI) on a project focused on developing a visual-based world model as a learned simulator to assess end-to-end automated driving. This collaborative effort aligns with TRI's advanced development initiatives in Diffusion Policy and Large Behavior Models (LBM).

WHO ARE WE LOOKING FOR?

We are in search of a Senior Machine Learning Engineer to help construct a vision-based world model for interactive driving scenarios. The engineer will play a crucial role in linking research initiatives with production programs. This position demands excellent communication abilities and a collaborative approach to navigate the joint nature of the Woven / TRI partnership. Candidates should possess extensive technical knowledge of state-of-the-art methodologies in robotics and automated driving to guide vision and scope, initiating long-term open-research projects.

About Woven by Toyota

Woven by Toyota is committed to pushing the boundaries of mobility by integrating advanced technology and innovative approaches. Our mission is to create a safer, more connected world through the development of autonomous systems that enhance the quality of life for all.

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Senior Machine Learning Engineer - World Foundation Model

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Full-time|On-site|Palo Alto, CA

Woven by Toyota is at the forefront of Toyota’s transformative journey into a mobility-focused company. With a rich legacy of innovation that prioritizes societal benefit, our aim is to redefine mobility through human-centered solutions, expanding the definition of mobility and its societal contributions.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (AD/ADAS), the Arene software development platform for software-defined vehicles, Woven City as a testing ground for mobility solutions, and our digital infrastructure encompassing Cloud & AI. Together, we strive toward a singular ambitious goal: a world devoid of accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we are pioneers in crafting advanced Machine Learning solutions aimed at autonomous driving. Our team is dedicated to overcoming innovative challenges by designing sophisticated neural networks, developing pioneering end-to-end architectures, and enhancing machine learning techniques in perception, prediction, and motion planning. We are seeking enthusiastic innovators and skilled problem-solvers who are eager to transform mobility through cutting-edge AI and robotics, directly influencing the future of autonomous vehicle technology.Woven by Toyota is collaborating with the Toyota Research Institute (TRI) on a project focused on developing a visual-based world model as a learned simulator to assess end-to-end automated driving. This collaborative effort aligns with TRI's advanced development initiatives in Diffusion Policy and Large Behavior Models (LBM).WHO ARE WE LOOKING FOR?We are in search of a Senior Machine Learning Engineer to help construct a vision-based world model for interactive driving scenarios. The engineer will play a crucial role in linking research initiatives with production programs. This position demands excellent communication abilities and a collaborative approach to navigate the joint nature of the Woven / TRI partnership. Candidates should possess extensive technical knowledge of state-of-the-art methodologies in robotics and automated driving to guide vision and scope, initiating long-term open-research projects.

Jan 27, 2026

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Full-time|On-site|USA, Palo Alto

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Mar 18, 2026

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Machine Learning / AI Software Engineering Internship

Pathwaycom

Internship|On-site|Palo Alto, California, United States

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that mimics human thought processes. Our innovative architecture surpasses traditional Transformer models, providing enterprises with unparalleled transparency into model operations. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental optimization and achieve genuinely contextualized, experience-driven intelligence. Trusted by prestigious clients including NATO, La Poste, and Formula 1 racing teams, we are at the forefront of AI advancements.Led by visionary CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers such as CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Supported by prominent investors and advisors like Lukasz Kaiser, co-author of the Transformer architecture (the “T” in ChatGPT) and a key researcher in OpenAI's reasoning models, Pathway is headquartered in Palo Alto, California.The OpportunityWe are on the lookout for passionate Machine Learning/AI Software Engineering interns with a solid foundation in machine learning model research.Your ResponsibilitiesAssist in training Large Language Models (LLMs)Conduct benchmarking of LLMsPrepare and evaluate training datasetsCollaborate with the core Pathway Research TeamYour contributions will significantly impact the advancement of the AI landscape.

Jul 18, 2025

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Engineering Manager for Machine Learning in Behavior Planning & Prediction

Woven by Toyota

Full-time|On-site|Palo Alto, CA

Woven by Toyota is at the forefront of Toyota’s groundbreaking transition into a mobility enterprise. With a commitment to innovating for the greater good, our mission is to revolutionize mobility through human-centric advancements that redefine its meaning and societal impact.Our initiatives are built upon four foundational pillars: AD/ADAS, encompassing our autonomous driving and advanced driver assistance technologies; Arene, our software development platform tailored for software-defined vehicles; Woven City, a pioneering testbed for mobility innovations; and Cloud & AI, the digital backbone that supports our collaborative framework. Our business-critical functions empower these teams to collaborate effectively in pursuit of a singular, ambitious goal: to create a world devoid of accidents and enhance the well-being of all.Team OverviewThe Behavior team at Woven by Toyota addresses autonomous challenges related to prediction and trajectory planning. Our work encompasses an array of tasks, including the analysis of petabytes of multimodal driving data, optimization problem-solving, latency reduction on hardware accelerators, deployment of scalable and efficient machine learning (ML) training and evaluation pathways, and the design of innovative neural network architectures to push the boundaries of ML in Prediction and Motion Planning.Candidate ProfileWe are searching for a highly experienced, technically adept Engineering Manager to spearhead a team of talented engineers within the behavior group. This role emphasizes the development and implementation of cutting-edge machine learning models for planning and prediction in AD/ADAS, alongside their related data processing frameworks and vehicle integration. The ideal candidate should possess a profound enthusiasm for self-driving technology and its transformative potential on a global scale. You will guide your team in enhancing our core behavior machine learning models and associated pipelines. We seek an individual with deep expertise in machine learning, a thorough comprehension of the model lifecycle, and substantial experience in creating tools and pipelines to address behavioral challenges. Success in this role necessitates a candidate who flourishes in a dynamic environment, is hands-on, and is driven to expand the frontiers of our technology. Prior experience in developing and deploying real-world autonomous driving products and collaborating with exceptionally skilled engineers is crucial.

Feb 27, 2026

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Senior Software Engineer - Machine Learning Offboarding Models

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Full-time|On-site|Palo Alto, CA

Join our innovative team at latitude as a Senior Software Engineer specializing in Machine Learning Offboarding Models. In this role, you will leverage your expertise in software engineering and machine learning to develop robust models that enhance our offboarding processes. Your contributions will directly impact our operational efficiency and improve user experiences.As a key member of our team, you will collaborate with cross-functional teams to design, implement, and optimize machine learning solutions. We seek a passionate engineer who thrives in a fast-paced environment and is eager to tackle challenging problems.

Mar 17, 2026

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Machine Learning Engineer at Nace.AI | Palo Alto, CA

Nace.AI

Full-time|On-site|Palo Alto, CA

Role Overview:Join Nace.AI as a Machine Learning Engineer, where you will be instrumental in transforming advanced machine learning research into scalable, production-ready applications. Collaborating with interdisciplinary teams, you will pinpoint areas where machine learning can enhance product offerings, design robust model-centric architectures, and guarantee their smooth integration into practical applications. This role demands a harmonious blend of theoretical insight and hands-on engineering, focusing on creating dependable, maintainable, and impactful AI-driven features that align with Nace.AI's strategic goals.Key Responsibilities:Develop and sustain complete ML systems, including synthetic data pipelines, model training, debugging, and performance assessment.Enhance large language models (LLMs) and utilize meta-learning strategies to boost model generalization and efficiency.Refine existing Nace.AI models by integrating breakthroughs from the latest ML research.

Mar 17, 2026

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Principal Machine Learning Engineer - Training Systems

Rhoda AI

Full-time|On-site|Palo Alto

At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our focus spans high-performance, software-defined hardware to advanced foundational models and video world models that govern robot functionality. Our robots are engineered to be versatile, capable of navigating intricate, real-world environments and tackling scenarios not previously encountered in training. We stand at the crossroads of large-scale learning, robotics, and systems, bolstered by a research team comprising experts from prestigious institutions such as Stanford, Berkeley, and Harvard. Our ambition is not merely to add features; we are crafting a revolutionary computing platform for physical tasks, underpinned by over $400 million in funding, driving aggressive investments in research & development, hardware innovation, and scaling up manufacturing to bring our vision to fruition.Role OverviewWe are in search of a Principal Machine Learning Systems Engineer to take charge of our training systems' performance from start to finish. You will be instrumental in defining the scaling of our model training, enhancing efficiency, scalability, and accuracy across extensive multimodal training environments. This is a pivotal systems role, not merely focused on infrastructure support. Your contributions will significantly influence our compute utilization efficiency, scalability of models across thousands of GPUs, and the speed of research iterations.Your ResponsibilitiesOversee training performance from start to finishAnalyze and enhance the performance of large-scale multimodal training encompassing vision, video, proprioception, actions, and language.Create systematic performance attributions by breaking down step-time into compute, communication, and input pipeline, along with scaling curves for various cluster sizes and identifying key bottlenecks.Drive quantifiable improvements across:Distributed efficiency (e.g., communication and compute overlap, bucketization, topology-aware mapping, and parallelism strategies).Compute efficiency (e.g., identifying kernel hotspots, operator fusion, attention optimization, and minimizing framework/runtime overhead).Memory efficiency (e.g., activation checkpointing, sequence packing, and reducing fragmentation).Design training systems rather than just tuning themDefine and refine parallelism strategies including data, tensor, pipeline, sharding, and hybrid approaches.Enhance execution efficiency through communication scheduling, graph capture, execution optimization, and runtime enhancements.Contribute to the overall system architecture with innovative solutions.

Mar 10, 2026

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