Engineering Manager, Machine Learning
About the role
Role & Team
As an ML Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 machine learning engineers and data scientists. You will support teams working on data- and machine-learning-driven product capabilities.
Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.
You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.
Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.
What You'll Do
- Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
- Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
- Grow the teams by attracting and hiring great Data and ML talent
- Foster an inclusive, supportive, and caring culture where everyone can do their best work
- Provide regular 1:1 coaching and feedback to help others thrive, grow, and reach their aspirations
- Act as a strategic partner to Product Managers within your domains, ensuring technical decisions balance short- and long-term goals
- Ensure the technical approaches within your domains support future product and modelling needs
- Work closely with other Product, Design and Engineering leaders on strategy, technology, and people
- Help evolve Data and ML practices and introduce ways of working that improve collaboration, delivery, and learning
Skills & Experience
- 8+ years of profe