At a Glance
- Tasks: Lead innovative teams in data-centric AI to revolutionise autonomous driving.
- Company: Join Wayve, a mission-driven company shaping the future of transport.
- Benefits: Competitive pay, onsite chef, private health insurance, and flexible working hours.
- Other info: Enjoy a collaborative culture with daily team lunches and social events.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Experience managing ML teams and a passion for personal 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.
Data-Centric AI Engineering Manager 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, employees benefit from competitive compensation, a collaborative culture, and a range of perks including an onsite chef and wellness initiatives. The hybrid working policy ensures flexibility while fostering a vibrant workplace community, making it an ideal place for those looking to make a meaningful impact in autonomous driving.
StudySmarter Expert Advice🤫
We think this is how you could land Data-Centric AI Engineering Manager
✨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 showcasing your projects, especially those related to data-centric AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you would tackle challenges in team management and ML development, as these are key areas for this role.
✨Tip Number 4
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 at Wayve.
We think you need these skills to ace Data-Centric AI Engineering Manager
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data-centric AI and ML management. We want to see how your skills align with our mission and the specific role, so don’t hold back on showcasing relevant projects!
Showcase Your Leadership Style:As a Data-Centric AI Engineering Manager, your leadership approach is key. Share examples of how you've nurtured talent and fostered innovation in your previous roles. We love to see how you’ve helped teams grow and achieve their potential!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, less is often more!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Wayve
✨Know Your Stuff
Make sure you brush up on your machine learning knowledge, especially in data-centric AI and offline perception systems. 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 side of things.
✨Show Your Leadership Style
Prepare to talk about how you've fostered growth in your previous teams. Share specific examples of how you've nurtured talent and driven innovation. This is key for a role that involves building and leading a data-centric AI team.
✨Be Ready to Challenge the Status Quo
Think about times when you've successfully challenged existing processes or assumptions. The company values innovation, so come equipped with ideas on how to improve current practices and drive strategic initiatives within the team.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission and how your role fits into their vision for autonomous driving. Be prepared to discuss how you can contribute to the broader data-centric AI strategy and roadmap, showing that you’re aligned with their goals.
