Principal Machine Learning Engineer
May 8
🏢 In-office - Bay Area
Description
• Responsible for technical leadership of at least one company-wide program • Developing and implementing machine learning models and robotics systems to enhance the capabilities of the Autonomous Vehicle stack • Collaborating with cross-functional teams to contribute to the broader company strategy and roadmap, focusing on machine learning applications • Enhancing skills and knowledge in machine learning through continuous learning and application, while contributing to the growth and mentorship of junior engineers • Allocating personal bandwidth and technical resources effectively to meet both project requirements and personal professional development needs • Working with leadership and other teams to foster a culture that promotes collaboration, high impact, innovation, and a healthy work environment • Evaluating project decisions and outcomes, identifying dependencies, and analyzing risks associated with machine learning deployments • Troubleshooting and optimizing machine learning models and systems
Requirements
• 7+ years of software and machine learning engineering experience in an industrial or applied research environment • Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models • Passion to work in a team on research ideas that have real product impact • A good grasp of machine learning literature, ideally published • Comfortable working with large quantities of image and video data • BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience
Benefits
• 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 • Hybrid working policy with core working hours
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