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- Tasks: Lead a team to enhance ultra-realistic AV simulations using cutting-edge machine learning techniques.
- Company: A leading autonomous technology company at the forefront of innovation.
- Benefits: Competitive salary and the chance to work with top-tier teams in London.
- Why this job: Make a real impact in the autonomous driving sector while leading a skilled research engineering team.
- Qualifications: Strong deep learning, team management, and data science skills are essential.
The predicted salary is between 43200 - 72000 £ per year.
A leading autonomous technology company is looking for a skilled leader to establish a research engineering team in London. You will enhance ultra-realistic AV simulations through collaboration with top-tier teams. The ideal candidate should possess strong deep learning and team management skills. Experience in data science and problem-solving using machine learning techniques are crucial. A competitive salary is offered, reflecting the leading edge of technology in the autonomous driving sector.
Senior ML Engineer, AV Simulation & Foundation Models employer: Waymo
Contact Detail:
Waymo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, AV Simulation & Foundation Models
✨Tip Number 1
Network like a pro! Reach out to professionals in the autonomous technology field on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects and any relevant simulations you've worked on. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning techniques and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior ML Engineer, AV Simulation & Foundation Models
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep learning and machine learning experience in your application. We want to see how you've tackled complex problems and what techniques you've used to achieve success.
Team Spirit Matters: Since this role involves team management, don’t forget to mention your leadership experience. Share examples of how you've led teams or collaborated with others to drive projects forward. We love a good team player!
Tailor Your Application: Take the time to customise your CV and cover letter for this specific role. We appreciate when candidates align their experiences with our needs, especially in the context of AV simulations and autonomous technology.
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 this exciting opportunity in London!
How to prepare for a job interview at Waymo
✨Know Your ML Fundamentals
Brush up on your deep learning concepts and machine learning techniques. Be ready to discuss how you've applied these in past projects, especially in relation to AV simulations. This shows you’re not just familiar with the theory but can also implement it effectively.
✨Showcase Your Leadership Skills
Since this role involves establishing a research engineering team, be prepared to share examples of your team management experience. Discuss how you've led teams in the past, resolved conflicts, and fostered collaboration to achieve project goals.
✨Prepare for Technical Challenges
Expect technical questions or case studies related to AV simulations and foundation models. Practise solving problems on the spot, as this will demonstrate your problem-solving skills and ability to think critically under pressure.
✨Research the Company and Its Tech
Familiarise yourself with the company’s current projects and technologies in the autonomous driving sector. Being knowledgeable about their work will help you tailor your responses and show genuine interest in contributing to their mission.
