Senior Machine Learning Engineer

Wayve; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading AI technology company in London is seeking an experienced Machine Learning Engineer to advance their pioneering research in autonomous driving. You will collaborate with a team to develop and optimize advanced machine learning models and tools, ensuring high-quality code and system scalability. The ideal candidate has 7+ years of experience, strong Python programming skills, and a background in system design. Join us in shaping the future of mobility.

Qualifications

• 7+ years of experience or equivalent.
• Solid experience with Python or similar programming languages.
• Demonstrated experience in system design.
• Proven track record of delivering projects in teams.
• Ability to work cross-functionally.

Responsibilities

• Collaborate on advanced models and enhance Machine Learning Engineering skills.
• Develop datasets and data pipelines for research.
• Craft tools for research efficiency.
• Drive performance optimizations for system reliability.

Skills

Engineering best practices

Python proficiency

System design

Collaboration in teams

Performance optimization

Education

BS or MS in Computer Science, Engineering, or related discipline

Tools

Python

CUDA

MLOps

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.

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.

About the Role

Our team is seeking a talented Machine Learning Engineer to propel our ambitious research forward. We're not just another team; we're a dynamic blend of Applied Scientists, Machine Learning Engineers, and Software Engineers united together to apply state-of-the-art research to the road. From pioneering advancements in Offline Reinforcement Learning (RL) and Reward Learning from Human Feedback (RLHF) to developing groundbreaking, large-scale, embodied Foundation Models, our projects are designed to dramatically enhance our product's capabilities.

In this role, you might:

• Collaborate with Applied Scientists and Machine Learning Engineers on advanced, multimodal, embodied Foundation Models, enhancing your Machine Learning Engineering (MLE) skills.
• Develop and manage comprehensive datasets and data engineering pipelines, supporting complex research initiatives.
• Craft and refine tools for rapid exploration and detailed visualizations, pushing the boundaries of research efficiency.
• Drive observability, monitoring, and performance optimizations to elevate system reliability and performance.
• Create tools specifically designed to expedite solving research problems, showcasing your problem-solving capabilities.
• Work seamlessly with platform teams, facilitating integration and leveraging shared resources for broader impact.

You'd be a great match for this role if:

• You champion engineering best practices, ensuring solutions are scalable, efficient, and maintainable. You prioritize code quality, readability, and reusability, understanding that these qualities are key to long-term success.
• You excel in ambiguous, fast-paced environments, adept at navigating and thriving amidst change.
• You get excited about optimizing pre-training runs, for example, including data pre-processing, CUDA optimization, model quantization and optimization, increasing throughput of training jobs (e.g., FP-8).
• (A plus) You have experience with MLOps or ML Infrastructure, reflecting your ability to streamline machine learning workflows.

Essentials:

• 7+ years of experience with a BS or MS in Computer Science, Engineering, or related discipline, or equivalent experience.
• Solid experience with Python or proficiency in a systems/backend programming language with the ability to quickly adapt to Python.
• Demonstrated experience in system design, capable of architecting robust, scalable solutions.
• Proven track record of working in teams to successfully deliver open-ended projects.
• Ability to work cross-functionally, bridging gaps between teams to drive collective goals

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.