Machine Learning Platform Manager
Machine Learning Platform Manager
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Job Description
PENN Entertainment Inc. is North Americas leading provider of integrated entertainment sports content and casino gaming experiences. From casinos and racetracks to online gaming sports betting and entertainment content we deliver the experiences people want how and where they want them.
Were always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These stateoftheart platforms are powered by proprietary inhouse technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cuttingedge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout North America you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming media and entertainment we want to talk to you.
About the Role & Team
The Machine Learning Platform team at Penn Entertainment is dedicated to building and maintaining the infrastructure tools and frameworks that support our data science and machine learning initiatives. As the Engineering Manager of the ML Platform you will lead a team of talented engineers fostering a culture of collaboration innovation and technical excellence. You will be responsible for guiding the team in developing scalable machine learning platforms optimizing model deployment processes and implementing best practices in machine learning operations (MLOps).
About the Work
- Drive the vision strategy and of the machine learning platform ensuring alignment with data science and machine learning deliverables at the company.
- Hire mentor and lead a team of ML platform engineers fostering professional growth and a culture of innovation.
- Oversee the development of scalable ML infrastructure model serving feature stores and monitoring systems.
- Partner with stakeholders across data engineering ML engineering and data product teams to enable the development of robust ML pipelines and integrations
- Establish and improve MLOps best practices ensuring robust CI/CD pipelines model monitoring and efficient resource utilization.
- Assess and recommend new tools frameworks and technologies to improve the efficiency and effectiveness of machine learning solutions.
- Maintain technical design documents Git/Confluence documentation and ensure knowledge sharing across the team.
About You
- Experience: 3 years of professional experience in machine learning data engineering or software engineering with at least 2 years in a leadership or managerial role.
- Strong background in machine learning infrastructure data engineering and software development with proficiency in Python SQL and cloud platforms (GCP AWS Azure).
- Experience with machine learning packaging and serving patterns and related tooling (MLflow Seldon Kserve Vertex AWS SageMaker)
- Handson experience with CI/CD pipelines containerization (Docker Kubernetes) and orchestration tools (Airflow Kubeflow or Dagster).
- Ability to communicate complex technical concepts to nontechnical stakeholders and lead a highperforming team.
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
Nice to Have
- Experience with realtime stream processing and virtual feature stores (Featureform Feast).
- Background in deploying and monitoring large language models (LLMs).
- Familiarity with BI tools such as Tableau Looker or Mode.
#LIRemote
Candidates residing in Ontario requiring special accommodation can email
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability or age.
Required Experience:
Manager
Employment Type
Full Time
