Engineering Manager - Machine Learning, Training Libraries

Overview

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About Wayve

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.

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!

The role

As an Engineering Manager for Training Libraries, you will lead a development team that builds stable, scalable and modular tooling and libraries to run large scale training jobs. The goal of the Training Tech team is to enable ML engineers and researchers to build models at ease. We focus on tooling that is shared by a wide variety of models, such as data loading, parallelism and observability. Success of this team allows Wayve to train larger models more efficiently and seamlessly, and plays a fundamental role in delivering performant driving models for L2+, L3 and beyond.

Key Responsibilities

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• Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth
  
• Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap
  
• Prioritise effectively, implement and maintain lean and effective team processes
  
• Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager
  
• Lead technical discussions and guide technical direction where needed
  

About you

In order to set you up for success as a Engineering Manager (Training Libraries) at Wayve, we’re looking for the following skills and experience.

Essential

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• Demonstrated ability to build, manage and grow high-performing teams, owning the recruitment process and supporting career development
  
• Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python
  
• Solid understanding of machine learning fundamentals
  
• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
  
• Track record of promoting software engineering best practices and excellence within the team
  
• Excellent communication skills and a track record of effective collaboration across teams and functions
  

Desirable

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• Hands-on experience in training large scale ML models, ideally in PyTorch
  
• Familiarity with optimizing efficiency of ML training, e.g. compilation
  
• Experience working with data pipelines, e.g. Flyte or Spark
  

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 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.

Seniority level

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• Mid-Senior level
  

Employment type

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• Full-time
  

Job function

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• Engineering and Information Technology
  

Industries

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• Software Development
  

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