Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
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 Data Science & Machine Learning team is responsible for building models and APIs to help improve all of Penn Entertainments digital offerings. Our team values creativity collaboration ingenuity and ownership.
As a Machine Learning Engineer youll be instrumental in crafting the next generation of user experiences. You will design build and deploy sophisticated machine learning models and infrastructure that directly impact how users discover content engage with our community and explore the full spectrum of Penn Entertainments offerings. This role offers a unique chance to contribute to high-impact projects while helping to advance our cutting-edge ML platform.
About the Work
Were focused on projects that directly improve user engagement and satisfaction. Some examples include:
- Personalized Recommendation Engines Help users discover the games promotions and content they care about most through behavioral contextual and collaborative filtering models.
- Chat Toxicity Detection Ensure a safe and welcoming community environment with NLP-based classification.
- Cross-sell Propensity Modeling Predict which offerings resonate with each user and surface the right experience at the right time.
- Dynamic Personalization Enable real-time decision-making in product features content feeds and user journeys using machine learning.
Youll also be instrumental in scaling our ML platform to support these future efforts.
As part of the Machine Learning Engineering team you will:
- Build and optimize end-to-end machine learning pipelines from data ingestion to deployment.
- Work closely with Product Marketing and Operations teams to align ML solutions with business goals.
- Improve our ML platform and deploy infrastructure usingMLOps best practices.
- Evaluate and integrate new tools models and frameworks to enhance scalability and performance.
- Clearly communicate technical concepts to both technical and non-technical stakeholders.
- Document your systems and workflows using Git Confluence and related tools.
About You
Youre someone whos passionate about putting machine learning into production and making personalization work at scale. You bring:
- 3 years of professional experience as a Machine Learning Engineer or in a similar role.
- A background in Computer Science Data Science Engineering or a related technical field.
- Strong programming skills in Python and SQL. Bonus for Go Rust Scala R or C.
- Experience with Docker Kubernetes Terraform and scalable deployment tools.
- Hands-on experience building CI/CD pipelines for ML systems.
- Proficiency in orchestration tools like Airflow Kubeflow or Dagster.
- Experience working on or contributing to dbt projects.
- Comfort working in cloud environments like AWS GCP or Azure.
- Familiarity with ML frameworks such as PyTorch TensorFlow Keras or similar.
Nice to have:
- Experience building real-time personalization or recommendation systems at scale.
- Familiarity with virtual feature stores like Feast or Featureform.
- Exposure to working with or deploying large language models (LLMs) in production.
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.
Employment Type
Full Time
