Machine Learning Engineer
Description For Machine Learning Engineer
Wayve, founded in 2017, is at the forefront of autonomous driving technology through their innovative Embodied AI approach. As a Machine Learning Engineer, you'll be instrumental in transforming research concepts into production-ready solutions for self-driving vehicles. The role combines cutting-edge computer vision, deep learning, and autonomous systems development.
Working in a collaborative environment, you'll bridge the gap between research and production, helping to scale and implement ML features that power autonomous driving systems. The position requires strong expertise in computer vision, distributed computing, and large-scale data processing, making it perfect for someone passionate about bringing autonomous driving technology to life.
Wayve offers a unique opportunity to work with state-of-the-art technology in a company that values innovation while maintaining a strong focus on practical implementation. The company culture emphasizes diversity, continuous learning, and impact-driven development, making it an ideal environment for growth and professional development.
The role provides an excellent balance of technical challenges and real-world applications, with the chance to work on technology that will shape the future of transportation. With competitive compensation, comprehensive benefits, and a flexible hybrid work environment, Wayve offers an attractive package for talented engineers looking to make their mark in the autonomous vehicle industry.
Responsibilities For Machine Learning Engineer
- Help productionize an end-to-end self driving neural network for autonomous driving
- Work closely with Platform and Research teams to integrate, test and scale ML features for production
- Productionizing and scaling ML models
- Work across Data, Validation, Platform and Research teams
Requirements For Machine Learning Engineer
- 3+ years experience in shipping Computer Vision features and in applied research
- Good grasp of Computer Vision literature
- Experience in working in platform teams and working with research teams
- Good insight into training, validation, testing and metrics for deep learning features/models
- Experience in reporting and tracking benchmarked performance
- Ability to write high quality, well-structured and tested Python code
- Solid experience working with concurrent, parallel and distributed computing
- Comfortable working with and visualising huge data sets
- Knowledge of computing fundamentals
- BS or MS in Machine Learning, Computer Science, Engineering, or related technical discipline or equivalent experience
Benefits For Machine Learning Engineer
- Competitive compensation
- Fully employer-covered medical, dental and vision insurance
- Catered lunch
- Snacks and variety of drinks
- Life insurance
- Employer contributed retirement account
- Therapy
- Yoga
- Office-wide socials
- Dog-friendly office
- Hybrid working policy
- Core working hours flexibility
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