Job Description
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 hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment 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!
We are looking for an ML Platform Engineer to join the Training Libraries team at Wayve. Our team builds and maintains the platforms and tools that allow ML engineers and researchers at Wayve to productively train models at scale. A suitable candidate will be a talented engineer with experience in building high quality systems and a passion for software engineering practices - what makes code reusable and extensible. An ideal candidate will have a good understanding of ML frameworks and practices to understand the needs of users.
Key responsibilities:
- Build stable, scalable and modular libraries that serve ML engineers and researchers at Wayve, e.g. for data loading, distributed training, checkpointing.
- Push up the bar for engineering excellence with a focus on maintainability and observability.
- Design and develop data libraries that allow users to create the best data sets for their training jobs and prepare the data for efficient training at scale.
- Support ML engineers who are pushing the boundaries of scale of their models
About you
In order to set you up for success as a ML Platform Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Extensive experience in programming in Python
- A proven track record of designing, implementing and maintaining systems at scale
- Strong knowledge and interest in best practices for software architecture design, testing, observability
- Experience working with concurrent, parallel and distributed computing.
- Experience working with at least one ML framework, e.g. Pytorch, Tensorflow.
- Experience building systems in a cloud environment, ideally Azure.
Desirable
- Experience with data pipeline orchestration tools, ideally Ray, Flyte
- Experience with containerization and deployment frameworks, e.g. Docker, Kubernetes and Terraform
- Experience profiling and optimising ML models e.g. with NVIDIA NSight
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.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know
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 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 non-discriminatory.
