At a Glance
- Tasks: Design and develop ML models for autonomous driving, tackling complex challenges.
- Company: Woven by Toyota is transforming mobility through innovative AI and robotics solutions.
- Benefits: Enjoy flexible vacation, excellent health coverage, and a rewarding pension.
- Why this job: Join a passionate team redefining mobility with cutting-edge technology and collaborative projects.
- Qualifications: MS or higher in a related field, experience with ML frameworks, Python, and C++.
- Other info: Entry-level position with opportunities to work on groundbreaking autonomous driving technologies.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Machine Learning Engineer role at Woven by Toyota Continue with Google Continue with Google Join to apply for the Machine Learning Engineer role at Woven by Toyota Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society. AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; and Cloud & AI, the digital infrastructure powering our collaborative foundation. At Woven by Toyota, we are at the forefront of developing advanced Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We\’re passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision scenarios. We\’re seeking passionate innovators and creative problem-solvers eager to redefine mobility through cutting-edge AI and robotics, contributing directly to shaping the future of self-driving technology. Woven by Toyota is developing a joint project between Toyota Research Institute (TRI) and Woven by Toyota to research and develop a fully end-to-end learned automated driving / ADAS stack. This cross-org collaborative project is synergistic with TRI’s robotics division’s efforts in Diffusion Policy and Large Behavior Models (LBM). Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from complex projects involving multiple teams and legacy codebases; Writes high-quality code while being rigorous with Machine Learning experimentation; MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in ML workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization Python and C++ experience Experience with infrastructure for large-scale datasets and distributed model training Experience working with a modern cloud service (AWS, GCP, Azure etc.) Experience with model deployment with NVIDIA stack (e.g. Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving, large-scale data curation pipelines We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・ Excellent health, wellness, dental and vision coverage ・ A rewarding pension ・ Flexible vacation policy ・ We are an equal opportunity employer and value diversity. ・Seniority level Entry level Employment type Full-time Job function Engineering and Information Technology Industries Software Development Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Scientists and Engineers: AI for Quantum Graduate Software Engineer 2025 – RegTech Machine Learning Engineer – Search and Recommendation Research Engineer, ML, AI & Computer Vision We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Machine Learning Performance Engineer employer: Woven by Toyota
Contact Detail:
Woven by Toyota Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Performance Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in areas like deep learning and computer vision. Being able to discuss recent breakthroughs or trends during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the community by participating in relevant forums or attending meetups focused on autonomous driving and machine learning. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with ML frameworks like PyTorch or TensorFlow through personal projects or contributions to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you would approach complex projects involving multiple teams. Think of examples from your past experiences where you successfully navigated ambiguities and collaborated effectively, as this is crucial for the role.
We think you need these skills to ace Machine Learning Performance Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Performance Engineer position at Woven by Toyota. Familiarise yourself with their focus on autonomous driving and the specific ML frameworks they use.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, particularly with frameworks like PyTorch, Jax, or TensorFlow. Emphasise any projects related to autonomous driving, data curation, and model deployment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation in mobility and your problem-solving skills. Mention specific experiences that align with the job description, such as working with large-scale datasets or cloud services.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio showcasing relevant projects. Highlight any contributions to ML models, especially those involving complex 3D geometric computer vision scenarios, to demonstrate your hands-on experience.
How to prepare for a job interview at Woven by Toyota
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ML frameworks like PyTorch, Jax, or TensorFlow. Bring examples of projects where you've implemented these technologies, especially in the context of autonomous driving or complex data pipelines.
✨Demonstrate Problem-Solving Abilities
Woven by Toyota values creative problem-solvers. Prepare to discuss how you've navigated ambiguities in past projects and how you approached challenges involving multiple teams or legacy codebases.
✨Highlight Your Collaborative Spirit
Since this role involves cross-organisational collaboration, be ready to share experiences where you've successfully worked in a team environment. Emphasise your ability to communicate effectively and contribute to group goals.
✨Stay Updated on Industry Trends
Familiarise yourself with recent breakthroughs in machine learning, such as foundation models and multimodal Transformer architectures. Showing that you're knowledgeable about current trends will demonstrate your passion for the field.