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- Tasks: Design and develop cutting-edge ML models for autonomous driving.
- Company: Woven by Toyota is revolutionising mobility through innovative AI solutions.
- Benefits: Enjoy flexible vacation, excellent health coverage, and family planning benefits.
- Why this job: Join a passionate team pushing the boundaries of self-driving technology.
- Qualifications: MS or equivalent experience in ML; proficiency in Python and C++ required.
- Other info: Entry-level position with opportunities for growth in a diverse environment.
The predicted salary is between 42000 - 84000 £ per year.
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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.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all. Team
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). Responsibilities
- 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;
- Collaborate closely with stakeholders from multiple teams in different time zones to define interfaces and requirements for an end-to-end stack;
Experience
- 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 state-of-the-art architectures for end-to-end autonomous driving
- 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.)
Nice to Have
- Hands-on experience with autonomous driving systems
- Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling)
- 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
What We Offer
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 ・ Family planning and care benefits Our Commitment
・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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Machine Learning Engineer (London) employer: Woven by Toyota
Contact Detail:
Woven by Toyota Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in autonomous driving. Understanding state-of-the-art architectures and recent breakthroughs will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of machine learning and autonomous systems. Attend relevant meetups or webinars to connect with others who work at Woven by Toyota or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your hands-on experience with ML frameworks like PyTorch, especially if you have worked on projects related to autonomous driving. Be prepared to discuss specific challenges you faced and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Prepare to discuss your experience with data sampling and curation pipelines. Since this role involves working with large-scale datasets, being able to articulate your approach to managing and optimising data will set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly with frameworks like PyTorch, Jax, or TensorFlow. Emphasise any projects related to autonomous driving and your proficiency in Python and C++.
Craft a Compelling Cover Letter: In your cover letter, express your passion for mobility innovation and how your skills align with Woven by Toyota's mission. Mention specific experiences that demonstrate your problem-solving abilities and collaboration across teams.
Showcase Relevant Projects: Include a section in your application that details any relevant projects you've worked on, especially those involving ML workflows, data curation, or autonomous systems. This will help illustrate your hands-on experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to machine learning or AI. This shows your commitment to staying updated with the latest advancements in the field.
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.
✨Demonstrate Problem-Solving Abilities
Woven by Toyota values creative problem-solvers. Be ready to share specific instances where you've navigated ambiguities in complex projects and how you addressed uncertainties, particularly in collaborative environments.
✨Understand the Company’s Vision
Familiarise yourself with Woven by Toyota's mission and the four pillars of their work. Showing that you understand their goals and how your skills can contribute will set you apart from other candidates.
✨Prepare for Collaborative Scenarios
Since the role involves working with stakeholders across different time zones, think of examples where you've successfully collaborated with diverse teams. Highlight your communication skills and adaptability in such situations.
