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Director, Machine Learning
Director - Machine Learning
As Director of Machine Learning, you will provide strategic direction to ML Managers and guide teams of Research Scientists, ML Engineers, and Data Scientists. Your responsibilities include overseeing multiple ML Managers, streamlining ML processes, and providing quantitative thought leadership to advance Upstart's mission of making credit more fair and affordable.
About the role
About the Role
As Director of Machine Learning, you will provide strategic direction to ML Managers and their direct reports, guiding our teams of Research Scientists, ML Engineers and Data Scientists to achieve their full potential.
Responsibilities
- Overseeing multiple ML Managers and helping them to build and scale their teams
- Leading efforts to streamline ML processes and upgrade ML architecture
- Providing quantitative thought leadership and building good technical solutions to messy problems
- Helping ML Managers define their areas’ north stars and develop the corresponding road maps
- Working closely with Product, Data Engineering and Software Engineering to shape their road map and deliverables
- Identifying opportunities to apply ML to new products and/or areas of the business in order to deliver business value
Requirements
- Ability to set and maintain high standards for one’s team and unreasonably high standards for one’s self
- Strong academic credentials with a master's degree in statistics, machine learning, mathematics, computer science, or other quantitative area of study; PhD preferred
- Experience delivering high impact ML projects in a large team from tech, quantitative trading, or other fast-paced environments
- 8+ years of research science and ML experience with 5+ years as a hands-on practitioner
- 4+ years’ people leadership and team building experience with passion for bringing out the best in a team and helping people grow in their careers
- Proficiency in ML languages and packages (Python, R) along with statistical modeling expertise such as boosted trees, ensemble, survival, causal inference and neural networks and other advanced techniques
- Knowledge of ML pipelines and engineering architectures (AWS, Kafka, Spark, Kubernetes, EC2, Redshift)
- Effective communication, negotiation and execution abilities across teams and stakeholders
- Enthusiasm for and alignment with Upstart’s mission and values
- Ability to leverage personal influence and connections to attract top talent