Lead Machine Learning Engineer for Autonomous Driving
2 weeks ago
Wayve, a leading innovator in autonomous vehicle technology, is seeking a highly skilled Machine Learning Engineer to join our Embodied AI division.
In this role, you will play a pivotal part in driving the development and implementation of cutting-edge machine learning solutions that power our autonomous driving systems. You will lead technical projects, collaborate closely with cross-functional teams, and contribute to impactful research initiatives.
Responsibilities- Spearhead company-wide programs focused on advancing our machine learning capabilities.
- Design, develop, and implement sophisticated machine learning models and robotics systems.
- Foster strong collaboration with diverse teams across engineering, research, and product development.
- Mentor and guide junior engineers, fostering a culture of knowledge sharing and growth.
- Continuously optimize existing machine learning models to enhance performance and efficiency.
- A minimum of 7 years of proven experience in software and machine learning engineering.
- In-depth understanding of machine learning principles and algorithms, with a strong grasp of relevant research literature.
- Hands-on experience training, validating, testing, and evaluating deep learning models.
- Proven ability to work effectively with large datasets of image and video data.
- A Bachelor's degree or higher in Machine Learning, Computer Science, Engineering, or a related field.
- Exceptional software engineering skills in Python.
- Direct experience in computer vision, robotics, or large language models.
- A Master's degree or higher in Machine Learning, Computer Science, Engineering, or a related field.
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