At a Glance
- Tasks: Lead a team to develop cutting-edge AI for autonomous vehicles.
- Company: Wayve, a pioneer in Embodied AI technology with a diverse culture.
- Benefits: Hybrid working policy, flexible hours, and opportunities for personal growth.
- Other info: Join a dynamic team focused on collaboration and groundbreaking solutions.
- Why this job: Shape the future of mobility and make a real-world impact.
- Qualifications: Experience in ML development and team management; passion for innovation.
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 Wrexham 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 creativity thrives, and every voice is valued, making it an ideal place for those passionate about shaping the future of mobility.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineering Manager (Driving Intelligence) in Wrexham
✨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 Wrexham
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 unique experiences and skills can contribute to our mission at Wayve.
Tailor Your CV:Make sure your CV is tailored to the role of Engineering Manager in Driving Intelligence. Highlight relevant experience in ML development and team management, and don’t forget to mention any projects that had a real-world impact.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your achievements and how they relate to the responsibilities outlined in the job description. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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. Prepare examples of past projects where you've made a significant impact, especially in autonomous vehicles.
✨Show Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead and grow a team. Think about times when you've fostered innovation or helped team members succeed. Be prepared to share your vision for building a strong, diverse team that can tackle complex challenges.
✨Understand Their Culture
Wayve values diversity and collaboration, so show that you align with their culture. Research their values and think about how your own experiences and perspectives can contribute to a respectful and inclusive environment. Share examples of how you've embraced diversity in your previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, and how they measure success. This not only demonstrates your enthusiasm but also helps you gauge if Wayve is the right fit for you.
