Job Title

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, you'll 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 Entertainment's offerings. This role offers a unique chance to contribute to high-impact projects while helping to advance our cutting-edge ML platform.About the WorkWere 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 using MLOps 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 YouYoure 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 packageFun, relaxed work environmentEducation and conference reimbursements.Parental leave top upOpportunities for career progression and mentoring others#LI-REMOTEtheScore 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.Apply for this job*indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfLinkedIn ProfileWhat are your salary expectations? *Would you like to opt-in to receiving text messages from the recruiter for this role in relation to the hiring process (i.e. Interview requests, reminders, etc.)? (Note: Selecting no will not eliminate you from consideration for this role) * Select...PENN Entertainment participates in a Federal Tax Credit program called the Work Opportunity Tax Credit (WOTC). All US only candidates are encouraged to complete a short online tax credit survey. All information provided will be kept confidential and will be used only for the purpose of determining potential WOTC eligibility. Would you would like to participate? (please click the link in the description below) * Select...Do you have working experience using SQL & Python? * Select...Do you have experience with scalable deployment tools like Kubernetes? * Select... #J-18808-Ljbffr