At a Glance
- Tasks: Lead a team to develop cutting-edge AI for autonomous vehicles and drive innovation.
- Company: Wayve, a pioneer in Embodied AI technology with a focus on diversity and inclusion.
- Benefits: Hybrid working policy, flexible hours, and opportunities for personal and professional growth.
- Other info: Join a dynamic environment that values collaboration and continuous learning.
- Why this job: Shape the future of mobility and AI while making a real-world impact.
- Qualifications: Experience managing ML teams and a passion for self-driving technology.
The predicted salary is between 80000 - 100000 £ per year.
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. 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.
The role of Engineering Manager in Driving Intelligence is critical to the success of the company. You are responsible for guiding the development of our autonomous vehicle capabilities with production-level quality. This includes training, tuning and debugging production models, informing decisions on how to collect and synthesize training data. We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in driving intelligence.
Key responsibilities:
- Grow an already strong team of engineers and model developers.
- Ensure team members are having a strong impact and are set up for success.
- Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals.
- Bring technical expertise and experience to help accelerate our progress and decision making.
- Establish solid engineering practices in developing ML models to production-level quality.
- Challenge the status quo (both technical and organisational/process).
- Prioritise effectively and keep processes lean and effective.
- Partner with leadership to maintain a culture of collaboration, impact, innovation, and health.
- Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds.
- Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment.
- Contribute to day-to-day running of the Software team’s operations and larger collaborative efforts.
- Assess general team health and look for opportunities to improve processes and best practices.
About you:
In order to set you up for success as an Engineering Manager in Driving Intelligence at Wayve, we’re looking for the following skills and experience.
Essential:
- Prior experience as a manager of ML development teams.
- Passionate about fostering personal and professional growth in individual team members.
- Industry experience with embodied AI development with real-world product impact.
- Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.
- Prior hands-on ML development experience in an embodied area (e.g., robotics).
- MS or PhD in Computer Science, Engineering, or similar experience.
Desirable:
- Experience working in a project-based (“matrix”) operating environment.
- Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc.
- Experience developing machine learning solutions for Autonomous Vehicles.
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.
Remote Engineering Manager (Driving Intelligence) in Nottingham employer: Wayve
Wayve is an exceptional employer that champions a diverse and inclusive culture, fostering innovation and collaboration among its employees. With a hybrid working policy that promotes flexibility and a focus on personal and professional growth, team members are empowered to make impactful contributions in the cutting-edge field of embodied AI technology. Located in London, Wayve offers a dynamic work environment where your skills can thrive, and your career can evolve as you help shape the future of mobility.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineering Manager (Driving Intelligence) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills align with their goals. Practise common interview questions and think about how you can showcase your experience in ML development.
✨Tip Number 3
Show your passion for the field! Whether it's through personal projects, contributions to open-source, or staying updated with the latest trends in AI, let your enthusiasm shine through. Companies love candidates who are genuinely excited about what they do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Wayve and contributing to the future of mobility.
We think you need these skills to ace Remote Engineering Manager (Driving Intelligence) in Nottingham
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for self-driving cars and AI shine through. We want to see that you’re not just qualified, but genuinely excited about the impact you can make in this field.
Tailor Your CV:Make sure your CV is tailored to highlight your experience with ML development and team management. We love seeing how your unique skills align with our mission, so don’t hold back on showcasing relevant projects!
Be Authentic:Don’t be afraid to show your personality in your application. We value diversity and unique perspectives, so let us know what makes you, you! Authenticity goes a long way in helping us understand who you are.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role you’re passionate about!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and embodied AI. Be ready to discuss your hands-on experience and how it relates to the role. This is your chance to showcase your technical expertise, so don’t hold back!
✨Show Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead and grow a team. Prepare examples of how you've fostered personal and professional growth in your previous roles. Highlight any successful projects where you guided your team to achieve breakthroughs.
✨Embrace the Culture
Wayve values diversity and collaboration, so be sure to express your commitment to these principles. Share experiences that reflect your ability to work in inclusive environments and how you’ve contributed to a positive team culture in the past.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision and future projects. This shows your genuine interest in Wayve and helps you understand how you can contribute to their goals. It’s also a great way to assess if the company aligns with your values.
