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 excellence and continuous learning.
- 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.
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.
- 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 Lincolnshire 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 Lincolnshire
✨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 Lincolnshire
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for self-driving cars and AI shine through. We want to see how your passion aligns with our mission at Wayve!
Tailor Your Experience:Make sure to highlight your relevant experience in ML development and team management. We’re looking for leaders who can drive innovation, so don’t hold back on showcasing your achievements!
Be Authentic:Don’t be afraid to show your personality! We value diversity and unique perspectives, so let us know what makes you stand out and how you can contribute to our inclusive culture.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you on board with our amazing team!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your technical knowledge, especially around machine learning and embodied AI. Be ready to discuss your past experiences in ML development and how they relate to the role at Wayve. This will show that you're not just a manager but also someone who understands the nitty-gritty of the technology.
✨Show Your Leadership Style
Wayve is looking for leaders who can foster innovation and drive teams towards success. Prepare examples of how you've supported team members' growth and how you've handled challenges in previous roles. This will help demonstrate your ability to create a collaborative and impactful environment.
✨Align with Their Vision
Familiarise yourself with Wayve's mission and values. Think about how your personal goals align with their vision of creating autonomy that propels the world forward. During the interview, express your passion for self-driving technology and how you can contribute to their innovative culture.
✨Ask Thoughtful Questions
Prepare some insightful questions that reflect your understanding of the role and the company. Inquire about their current projects, team dynamics, or future challenges they foresee in the field of autonomous vehicles. This shows your genuine interest and helps you gauge if Wayve is the right fit for you.
