At a Glance
- Tasks: Lead innovative teams in developing cutting-edge AI for autonomous driving.
- Company: Join Wayve, a mission-driven company shaping the future of transport.
- Benefits: Competitive pay, onsite chef, health insurance, and hybrid working options.
- Other info: Enjoy a respectful culture with daily lunches and social activities.
- Why this job: Make a real impact in a dynamic environment with talented minds.
- Qualifications: Experience managing ML teams and a passion for team growth.
The predicted salary is between 80000 - 100000 £ per year.
Where you will have an impact
We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in data centric AI. This role will sit in our Embodied AI division which consists of modelling, robotics and data teams working together to deliver an Autonomous Driving product.
You will grow the team according to the product roadmap on commercialisation timelines. You will be expected to establish solid ML practices from the start, developing our data centric AI roadmap and owning our offline perception systems.
Challenges you will own:
- Building an effective and engaged data centric AI team
- Working cross-functionally to set the broader data centric AI strategy and roadmap for Wayve
- Growing and nurturing talented engineers through their career journey to help them achieve their maximum potential
- Developing technical strategies for offline perception, expanding the data horizon and generating insights about data.
- Ensuring projects are resourced in a way that balances the needs of the business with the needs of the individuals
- Partnering with leadership to maintain a culture of collaboration, impact, innovation, and health
- Reviewing upcoming decisions and assess any dependencies or risks
- Debug teams and projects - ask the right questions, challenge assumptions, think creatively, eliminate possible factors that could be contributing to a bug, add feedback loops, and then assess feedback
What you will bring to Wayve:
Essential:
- Prior experience as a manager of ML development teams
- Passionate about fostering personal and professional growth in individual team members
- Industry experience with data centric 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
- MS or PhD in Computer Science, Engineering, or similar experience
Desirable:
- Experience working in a project-based (“matrix”) operating environment
- Strong knowledge of state of the art Computer Vision Deep Learning on tasks such as object detection, semantic segmentation, scene / object understanding, etc.
- Experience developing machine learning solutions for Autonomous Vehicles.
- Experience generating or working in the data labelling space using either human annotation or ML assisted labelling.
What we offer you:
- The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
- Competitive compensation and benefits
- A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too
- A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets
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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.
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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief.
Engineering Manager (Datasets) employer: Wayve
Wayve is an exceptional employer that offers a unique opportunity to lead and innovate in the field of data-centric AI within the dynamic environment of London. With a strong focus on personal and professional growth, competitive benefits, and a collaborative culture, employees are empowered to make significant contributions while enjoying a supportive work-life balance. The company's commitment to diversity and inclusion, along with its hybrid working policy, ensures that every team member can thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager (Datasets)
✨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
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to ML and data-centric AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering management and ML development. Think about how you would foster growth in your team and tackle challenges in data-centric projects.
✨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 our mission-driven team.
We think you need these skills to ace Engineering Manager (Datasets)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in managing ML development teams and your passion for fostering growth in team members. We want to see how your skills align with our mission!
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made in previous roles. Use specific examples of how you've driven strategic initiatives or improved processes. We love seeing how you've challenged the status quo!
Be Clear and Concise:Keep your application clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication that gets to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application reaches us quickly and efficiently. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your machine learning and data-centric AI knowledge. Be ready to discuss your hands-on experience with ML development, especially in relation to autonomous vehicles. This will show that you’re not just a manager but someone who understands the technical side of things.
✨Show Your Leadership Style
Prepare to talk about how you foster personal and professional growth within your team. Share specific examples of how you've nurtured talent and built effective teams in the past. This is crucial for demonstrating that you can grow and lead a data-centric AI team successfully.
✨Be Ready to Challenge the Status Quo
Think about times when you’ve had to challenge existing processes or assumptions. Be prepared to discuss how you approach problem-solving creatively and how you encourage your team to do the same. This aligns perfectly with the company’s culture of innovation.
✨Understand the Bigger Picture
Familiarise yourself with the company's roadmap and how your role fits into it. Be ready to discuss how you would align your team's goals with broader business objectives. This shows that you’re not just focused on the day-to-day but also on long-term success.
