Lead Applied Scientist TinyML
Lead Applied Scientist TinyML
Posted on :
20-01-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Title: Lead Applied Scientist TinyML
Job Location: London UK
Job Location Type: Hybrid
Job Contract Type: Fulltime
Job Seniority Level: MidSenior level
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.
About Us
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 vision is to create autonomy that propels the world forward. Our intelligent mapless and hardwareagnostic 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 role
We 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 ultraefficient 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 resourceefficient enabling seamless integration into realworld autonomous environments. Your efforts will directly impact the future of autonomous vehicles enhancing their adaptability reliability and efficiency through innovative approaches such as modelfree and modelbased reinforcement learning efficient visionlanguage models and more.
In this role you will be at the forefront of designing and optimizing foundation models that are both powerful and resourceefficient tailored for the unique demands of embodied AI and autonomous systems. Your work will involve but not limited to:
You are an applied scientist with a deep understanding of AI/ML and a specific focus on TinyML. You thrive in environments where innovation meets realworld application and you are driven by the desire to see your research make a tangible impact on autonomous technologies.
Essential
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 selfdriving 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 Wayve
DISCLAIMER: 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 nondiscriminatory.
About Us
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 vision is to create autonomy that propels the world forward. Our intelligent mapless and hardwareagnostic 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 role
We 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 ultraefficient 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 resourceefficient enabling seamless integration into realworld autonomous environments. Your efforts will directly impact the future of autonomous vehicles enhancing their adaptability reliability and efficiency through innovative approaches such as modelfree and modelbased reinforcement learning efficient visionlanguage models and more.
In this role you will be at the forefront of designing and optimizing foundation models that are both powerful and resourceefficient tailored for the unique demands of embodied AI and autonomous systems. Your work will involve but not limited to:
- Design and optimize ultraefficient foundation models specifically tailored for autonomous systems and embodied AI.
- Develop and refine techniques such as modelfree and modelbased reinforcement learning and efficient visionlanguage models to improve the adaptability reliability and efficiency of autonomous systems.
- Collaborate with worldclass 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.
You are an applied scientist with a deep understanding of AI/ML and a specific focus on TinyML. You thrive in environments where innovation meets realworld 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 realworld 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
- Track record of publications at toptier 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
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 selfdriving 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 Wayve
DISCLAIMER: 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 nondiscriminatory.
/jobs/view/eea816761b9434e1f8ce4c977b131a61
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
