Machine Learning Engineer - Philadelphia Pennsylvania

Company: Penn Entertainment Inc.
Location: Philadelphia, Pennsylvania
Posted On: 05/03/2024

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 will get the opportunity to contribute to, optimize, and deploy many exciting models as well as help the team build net-new features into our machine learning platform.
Examples of some of our on-going projects:

• Recommendation engines: we want to direct users to content they want to see.
  
• Chat-Toxicity Modelling: create an inclusive community chat environment.
  
• Cross-sell Likelihood: enable users to access the full range of Penn Entertainment's offerings.
  
• Bot User Identification: fight fraud on Penn Entertainment's digital offerings by identifying non-human users
  
  About the Work
  As a key member of our Machine Learning Engineering team, you will:
  
  
  
  • Design and build new machine learning pipelines and optimization routines.
    
  • Deploy modes and deliverables in conjunction with functional team leaders andstakeholders (in Product, Operations, Marketing, etc.)
    
  • Improve our machine learning platform by implementing ML ops best practices.
    
  • Conduct thorough testing and evaluation of new tools and technologies to assess their suitability for our platform.
    
  • Communicate clearly and efficiently with technical and non-technical stakeholders.
    
  • Write and maintain technical design and git/confluence documentation.
    
    About You
    
    
    
    • A minimum of 3 years of professional experience as a Machine Learning
      
    • A degree/background in Computer Science, Data Science, Statistics, Computer Engineering, or a related technical field.
      
    • Extensive experience in deploying applications using Docker, Kubernetes, Terraform, GitHub and other relevant tools.
      
    • Proficient with Python and SQL. Languages like Go, Rust, Scala, R, and C++ are nice-to-have.
      
    • Proven expertise in setting up Continuous Integration/Continuous Deployment (CI/CD) pipelines for Machine Learning projects. Skilled in testing and validating code, data, data schemas, and models.
      
    • Demonstrated experience developing machine learning pipelines with orchestration tools like Airflow, Kubeflow, or Dagster.
      
    • Extensive experience building and/or contributing to dbt projects.
      
    • Experience developing and deploying machine learning solutions in a public cloud such as AWS, Azure, or Google Cloud Platform is preferred.
      
    • Familiarity with popular machine learning frameworks such as TensorFlow, PyTorch, Caffe, and/or Keras
      
      Nice to Have
      
      
      
      • Experience building real-time stream processing solutions with technologies suchas Kafka, Spark, and Flink.
        
      • Experience with virtual feature store technologies such as Featureform or Feast.
        
      • Experience integrating with BI tools such as Mode, Tableau, Looker, or
        
      • Background in deploying and monitoring large language models (LLMs).
        
        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
          
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