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 combines technical leadership with hands-on development of machine learning models and robotics systems. You'll be working in a collaborative environment, contributing to company-wide programs and mentoring junior engineers. The position requires expertise in deep learning, computer vision, and software engineering, with a focus on practical implementation and optimization of ML models.
Wayve offers an inclusive, dynamic work environment with substantial benefits, including an onsite chef, health insurance, and flexible working arrangements. The company culture emphasizes continuous learning, innovation, and work-life balance. Based in London, you'll be part of a mission-driven organization that values diversity and encourages personal growth.
This is an excellent opportunity for experienced ML engineers who want to make a significant impact in autonomous driving technology while working with a team of bright minds in a supportive and innovative environment. The role offers both technical challenges and leadership opportunities, making it ideal for those looking to advance their careers in AI and autonomous systems.
Responsibilities For Machine Learning Engineer
- Technical leadership of company wide programs
- Developing and implementing machine learning models and robotics systems for autonomous driving
- Collaborating with cross-functional teams on company strategy and roadmap
- Contributing to growth and mentorship of junior engineers
- Troubleshooting and optimizing machine learning models and systems
- Working with leadership to foster collaboration and innovation
- Evaluating project decisions and analyzing risks in ML deployments
Requirements For Machine Learning Engineer
- 7+ years of software and machine learning engineering experience
- Good insight into practical aspects of deep learning features/models
- 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)
- MS or above degree (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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