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Machine Learning Engineer

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TreecodeGet AI-powered advice on this job and more exclusive features.At Wayve we''re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.We value diversity, embrace new perspectives, and foster an inclusive work environment; We''re looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in data centric AI.This role will sit in our Embodied AI division which consists of modelling, robotics, data and detectives teams working together to deliver an Autonomous Driving product.We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Youll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving.Developing and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications.Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers.Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs.Evaluating project decisions and outcomes, identifying dependencies, and analysing risks associated with machine learning deployments.Troubleshooting and optimising machine learning models and systems - identify potential issues, challenge existing assumptions, introduce innovative solutions, and implement feedback loops to enhance model performance.7+ years of software and machine learning engineering experience in an industrial or applied research environment- Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models- A good grasp of machine learning literature, ideally published- Comfortable working with large quantities of image and video data- BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Strong software engineering experience in Python and other relevant languages (e.g. C++ and CUDA)Direct experience working in at least one of computer vision, robotics, simulation, graphics, or large language models.MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experienceCompetitive compensation and benefitsA dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities tooA culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every dayBenefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgetsThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. If youre passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Employment type

Full-time

Job function

Information TechnologyIndustries

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