Sr Applied Machine Learning Engineer (Personalization)
Applied Machine Learning Engineers and Data Scientists on the Disney Streaming Machine Learning and Innovation team develop and maintain recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. They specialize in applying machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
Responsibilities :
As a member of this team you will collaborate across Engineering, Product, and Data teams to better understand challenges and develop automated solutions to be built into our products. You will be expected to contribute to recommendation and personalization algorithm research, development, and optimization for particular product areas, and to coordinate requirements and manage stakeholder expectations with product, engineering, and editorial teams.
Basic Qualifications :
- 3+ years of analytical experience
- 3+ years of experience developing machine learning models and performing data analysis with Python or R
- 2+ years writing production-level, scalable code (e.g. Python, Scala)
- 2+ years of experience developing algorithms for deployment to production systems
- In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
- In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models
- Experience with cloud services in a production environment (particularly AWS)
- Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
- Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
- Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate
- Strong written and verbal communication skills
- Ability to explain how models are used and algorithms behave to both technical and non-technical audiences
Preferred Qualifications:
- Production experience with developing content recommendation algorithms at scale
- Production experience with graph based models (e.g. node2vec)
- Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- Experience with graph-based data workflows such as Apache Airflow
- Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
- Familiar with metadata management, data lineage, and principles of data governance
- Experience loading and querying cloud-hosted databases such as Snowflake
- Building streaming data pipelines using Kafka, Spark, or Flink
- Familiarity with automated deployment, AWS infrastructure, Docker or similar containers
Required Education :
- Bachelor's degree in statistics, math, computer science, social science, or related quantitative field
Preferred Education :
- MS or PhD in statistics, math, computer science, social science, or related quantitative field
Additional Information :
Location - New York, NY preferred but also open to US Remote for the right candidate
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