About the Role
Major League Baseball is renowned for developing innovative technologies to create digital experiences that baseball fans love - and we are just getting started! We are looking for an experienced leader for our Machine Learning team. This team is tasked with developing a deep understanding of the data captured on the field. With the launch of Statcast in 2015, MLB began tracking ball and player movements for each and every play. If you’re interested in figuring out what gives certain players an edge or developing new insights to enhance the game and the fan experience, this role is for you!
This position offers the opportunity to collaborate with world-class engineers, data scientists, product developers, and designers; contribute to award-winning and complex apps and systems; influence the innovation of products used by millions globally; and work in a highly collaborative, results-oriented, team environment. Using bleeding edge technology, our software is consumed by fans, broadcasters, MLB Clubs and the league itself. We are looking for a leader that is passionate about ushering in the next generation of experiences for fans of all ages!
Core Responsibilities
- Manage a team of machine learning engineers
- Mentor engineers throughout their careers
- Brainstorm, discuss, and drive new advanced technology solutions for MLB products
- Collaborating with product owners for prioritization
- Executing technology decisions and initiatives
- Build scalable machine learning algorithms
- Influence the innovation of products used by millions of users worldwide
- Present and explain complex models to non-technical stakeholders
- Introduce technologies you feel passionate about
Qualifications
- Masters or PhD in Computer Science with a focus in machine learning
- 3+ years experience working with machine learning
- 2+ years experience managing an engineering team
- Deep knowledge of machine learning and statistical predictive modeling
- Real-world application experience implementing CNNs or RNNs/LSTMs
- Knowledge of baseball statistics