Machine Learning Engineer
Description For Machine Learning Engineer
Wayve, founded in 2017, is at the forefront of autonomous driving technology, developing Embodied AI solutions that are revolutionizing the automotive industry. As a Machine Learning Engineer in our Embodied AI division, you'll play a crucial role in scaling end-to-end neural networks for autonomous driving. The position offers a unique opportunity to work with cutting-edge technology while contributing to the future of transportation.
The role demands technical leadership and hands-on experience in developing machine learning models for autonomous systems. You'll collaborate with cross-functional teams, mentor junior engineers, and drive strategic initiatives. The ideal candidate brings 7+ years of software and ML engineering experience, with a strong foundation in deep learning and computer vision.
Wayve offers an inclusive, dynamic work environment with significant growth opportunities. The company values diversity and fosters innovation through collaboration. Benefits include competitive compensation, private health insurance, and unique perks like an onsite chef and workplace nursery scheme. The hybrid working model balances office collaboration with remote flexibility.
This position is perfect for someone passionate about autonomous driving technology who wants to make a real impact. You'll work with bright minds in the field, contribute to groundbreaking solutions, and help shape the future of transportation. The role offers both technical challenges and leadership opportunities, making it ideal for experienced engineers looking to advance their careers in autonomous systems.
Responsibilities For Machine Learning Engineer
- Technical leadership of company wide programs
- Developing and implementing machine learning models for autonomous driving
- Collaborating with cross-functional teams on company strategy
- Mentoring junior engineers
- Troubleshooting and optimizing machine learning models
- Working with leadership to foster collaboration and innovation
- Evaluating project decisions and analyzing risks
Requirements For Machine Learning Engineer
- 7+ years of software and machine learning engineering experience
- Good insight into practical aspects of deep learning
- Good grasp of machine learning literature
- Experience working with large quantities of image and video data
- BSc or above in Machine Learning, Computer Science, Engineering, or related field
- Strong software engineering experience in Python
- Experience in computer vision, robotics, simulation, graphics, or large language models (preferred)
Benefits For Machine Learning Engineer
- Competitive compensation and benefits
- Dynamic and fast-paced work environment
- Learning opportunities from industry experts
- Onsite chef
- Workplace nursery scheme
- Private health insurance
- Cycle scheme
- Therapy
- Yoga
- Two onsite bars
- Large social budgets
- Hybrid working policy
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