Lead Applied Scientist, TinyML

Job title:

Lead Applied Scientist, TinyML

Company

Lifelancer

Job description

Job Title: Lead Applied Scientist, TinyMLJob Location: London, UKJob Location Type: HybridJob Contract Type: Full-timeJob Seniority Level: Mid-Senior levelAt 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.About UsFounded 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 vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.At Wayve, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.Make Wayve the experience that defines your career!The roleWe are seeking a Lead Applied Scientist to join our London team where we have been building foundation models for embodied intelligence including LINGO and GAIA! We are prioritising someone with a passion for TinyML to join our dynamic London team. In this role, you will be instrumental in designing and optimizing ultra-efficient foundation models tailored for autonomous systems and embodied AI.You will work on the cutting edge of AI/ML, contributing to models that are both powerful and resource-efficient, enabling seamless integration into real-world autonomous environments. Your efforts will directly impact the future of autonomous vehicles, enhancing their adaptability, reliability, and efficiency through innovative approaches such as model-free and model-based reinforcement learning, efficient vision-language models, and more.In this role, you will be at the forefront of designing and optimizing foundation models that are both powerful and resource-efficient, tailored for the unique demands of embodied AI and autonomous systems. Your work will involve but not limited to:

• Design and optimize ultra-efficient foundation models specifically tailored for autonomous systems and embodied AI.
• Develop and refine techniques such as model-free and model-based reinforcement learning, and efficient vision-language models to improve the adaptability, reliability, and efficiency of autonomous systems.
• Collaborate with world-class researchers and engineers to push the boundaries of AI, contributing significantly to the evolution of autonomous driving technology.
• Influence the future of autonomous vehicles, helping to shape a smarter, safer, and more efficient transportation ecosystem.

About youYou are an applied scientist with a deep understanding of AI/ML and a specific focus on TinyML. You thrive in environments where innovation meets real-world application, and you are driven by the desire to see your research make a tangible impact on autonomous technologies.Essential

• 7+ years of ML engineering / applied science experience in an industrial research environment
• Experience in GenAI, EfficientAI, LLMs, World Models, Reinforcement Learning, or Autonomous Driving
• Passion for working in a team on research ideas that have real-world impact
• Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc.
• Several years of experience working on machine learning algorithms and systems
• A good grasp of machine learning literature
• Comfortable working with large quantities of image and video data
• Good insight into the practical aspects of training, validation, testing, and metrics for deep learning features/models
• MS or PhD Machine Learning, Computer Science, Engineering, or a related technical discipline, or equivalent experience

Desirable

• Track record of publications at top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL etc.
• Strong software engineering experience in Python and other relevant languages (e.g., C++ and CUDA)
• Experience bringing an ML research concept through to production and at scale

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. We operate core working hours so you can determine the schedule that works best for you and your team.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re 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.For more information visit Careers at Wayve.To learn more about what drives us, visit Values at WayveDISCLAIMER: 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.Lifelancer ( ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.For more details and to find similar roles, please check out the below Lifelancer link.

Expected salary

Location

London

Job date

Sun, 19 Jan 2025 23:03:03 GMT

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