Senior Machine Learning Engineer, Platform
Senior Machine Learning Engineer, Platform
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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 cutting-edge 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 state-of-the-art platforms are powered by proprietary in-house technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cutting-edge 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 builds the infrastructure tools and frameworks that power our machine learning lifecyclefrom training and deployment to monitoring and optimization. As a Machine Learning Engineer youll play a key role in scaling and evolving our ML platform. Youll work closely with data scientists ML engineers and data engineers to design robust efficient and production-grade systems that accelerate ML innovation across the company.
This is a hands-on engineering role focused on creating the foundational systems that support the development deployment and operation of machine learning models at scale.
About the Work
- Design build and maintain core components of the ML platform including model serving infrastructure feature stores and monitoring systems.
- Develop and maintain CI/CD pipelines for ML workflows to support reproducibility scalability and continuous delivery of models.
- Collaborate with ML engineers and data scientists to support model experimentation packaging and deployment in both batch and real-time contexts.
- Contribute to the development of best practices for MLOps including versioning lineage tracking observability and governance.
- Write clean testable and well-documented code and contribute to team knowledge through documentation and design reviews.
- Partner with data engineering and platform teams to ensure seamless integration with data pipelines and compute environments.
About You
- Experience: 5 years of experience in machine learning engineering data engineering or backend software engineering with demonstrated experience building ML systems in production.
- Technical Skills: Proficiency in Python and SQL. Deep familiarity with cloud platforms such as GCP AWS or Azure.
- MLOps & Infrastructure: Hands-on experience with ML model deployment CI/CD pipelines containerization (Docker Kubernetes) and orchestration tools (Dagster Airflow Kubeflow or similar).
- ML Tooling: Experience with model packaging and serving technologies such as MLflow Seldon Vertex AI or AWS SageMaker.
- Collaboration: Strong communication skills and a desire to work cross-functionally with data scientists ML engineers and platform teams.
- Education: Bachelors or Masters degree in Computer Science Engineering or a related technical field.
Nice to have
- Exposure to large language models (LLMs) and their deployment considerations.
- Familiarity with monitoring observability and alerting tools for ML systems.
- Contributions to open-source MLOps tooling or platforms.
What We Offer:
- Competitive compensation package
- Fun relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
#LI-REMOTE
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:
Senior IC
Employment Type
Full Time
