Wayve

Experience Requirements:

• Proven track record of managing engineering teams.

• Solid understanding of machine learning fundamentals.

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables.

• Track record of promoting software engineering best practices and excellence within the team.

• Demonstrated ability to manage software engineers and grow their careers.

Responsibilities:

• Help define and drive scenario generation technology roadmap to deliver on company goals and priorities

• Lead technical discussions and guide technical direction where needed

• Set effective KPIs and metrics

• Build resilient and reliable systems, and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Prioritise effectively, implement and maintain lean and effective team processes

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience 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

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our 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.

Benefits:

• onsite chef

• workplace nursery scheme

• private health insurance

• cycle scheme

• therapy

Education Requirements:

• BSc above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience

Experience 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

• Comfortable working with large quantities of image and video data

Other Requirements:

• Passion to work in a team on research ideas that have real product impact

• A good grasp of machine learning literature, ideally published

Responsibilities:

• Technical leadership of at least one company wide program

• Developing and implementing machine learning models and robotics systems to enhance the capabilities of our 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.