At a Glance
- Tasks: Lead a team to develop cutting-edge AI for autonomous vehicles and drive innovation.
- Company: Wayve, a pioneering company in Embodied AI technology with a diverse culture.
- Benefits: Hybrid working policy, flexible hours, and opportunities for personal growth.
- Other info: Join a collaborative environment focused on learning and excellence.
- Why this job: Shape the future of mobility and make a real impact in AI development.
- 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 Surrey 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 meaningful 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 impact can shape the future of mobility.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineering Manager (Driving Intelligence) in Surrey
✨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 Wayve's projects and values, and think about how your experience aligns with their mission. Practise common interview questions and be ready to showcase your passion for self-driving technology.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or any projects related to ML or AI, make sure to highlight them during your conversations. Real-world examples of your work can really set you apart from the crowd.
✨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 genuinely interested in being part of the Wayve team.
We think you need these skills to ace Remote Engineering Manager (Driving Intelligence) in Surrey
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! Share your journey and how it has shaped your approach to engineering.
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 will show that you're not just a manager but also someone who understands the technical challenges the team faces.
✨Show Your Leadership Style
Prepare to talk about how you foster growth in your team. Share specific examples of how you've supported team members in their professional development. This is key for a role that values collaboration and innovation, so make it personal!
✨Embrace the Challenge
Wayve is all about tackling complex problems, so be ready to discuss how you've approached challenges in the past. Think of a time when you had to challenge the status quo and what the outcome was. This will demonstrate your ability to drive strategic initiatives.
✨Cultural Fit Matters
Wayve values diversity and inclusion, so be prepared to discuss how you can contribute to this culture. Share your thoughts on building an inclusive environment and how you’ve done this in previous roles. It’s all about showing that you align with their values!
