Sr ML Engineer

$149,000 - $199,800/Yr

Disney - Seattle, WA

Full-time - Mid Level

Seattle, WA

Motion Picture and Sound Recording Industries

About the position

At Disney Entertainment & ESPN Technology, we are dedicated to reimagining the way audiences experience their favorite stories through innovative technology. Our mission is to transform Disney's media business for the future, focusing on evolving our streaming and digital products to create immersive experiences. We are responsible for developing, implementing, and maintaining Hulu's recommendation and personalization algorithms, which play a crucial role in enhancing user engagement and satisfaction. As a Senior Machine Learning Engineer, you will collaborate with cross-functional teams, including Engineering, Product, and Data, to apply advanced machine learning techniques that align with our strategic personalization goals. Your work will involve exploring cutting-edge methods for recommendations and optimizing our processes to ensure we deliver the best possible experience to our users. In this role, you will be at the forefront of building the future of Disney's media business. You will utilize your expertise in machine learning to develop algorithms that power our recommendation systems, ensuring they are scalable and efficient. You will also be responsible for maintaining these algorithms in production, providing insights and explanations to both technical and non-technical stakeholders. Your contributions will directly impact how millions of consumers interact with our platforms, including Disney+, Hulu, ESPN, and more. We are looking for someone who is not only technically proficient but also passionate about innovation and eager to challenge the status quo in the media industry.

Responsibilities

• Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems and bring it to large-scale real-time recommendation pipeline; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams
• Develop and maintain ETL pipelines using orchestration tools; deploy scalable streaming and batch data pipelines to support petabyte scale datasets
• Maintain existing and establish new algorithm development, testing, and deployment standards
• Identify and define new personalization opportunities with product team and work with data teams to improve how we do data collection, experimentation and analysis

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• 5+ years of experience in developing highly scalable machine learning products
• 5+ years writing production-level, scalable Python codes
• In-depth understanding of deep learning technology in recommendation system or NLP fields
• Proficiency in at least one of the following deep learning framework, tensorflow, pytorch
• Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences

Nice-to-haves

• MS or PhD in statistics, math, computer science, or related quantitative field
• Familiarity with Java and/or Scala programming languages
• Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
• Building streaming data pipelines using Kafka, Spark, or Flink

Benefits

• Health insurance
• Childcare options
• Paid time off
• Retirement programs
• Tuition assistance
• Weekly pay