Senior Machine Learning Engineer – Disney+
| Company | The Walt Disney Company |
|---|---|
| Location | Seattle, WA, USA, Santa Monica, CA, USA, San Francisco, CA, USA, New York, NY, USA |
| Salary | $138900 – $203900 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience
- 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 writing production-level, scalable code (e.g. Python, Scala)
- 3+ 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
- Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark
- 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
Responsibilities
- Utilize cutting edge machine learning methods to develop and implement algorithms for personalization, recommendation, and other predictive systems; 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 such as Airflow and Jenkins; 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 and work with other data teams to improve how we do data collection, experimentation and analysis
- Experience loading and querying cloud-hosted databases
- Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications
- MS or PhD in statistics, math, computer science, or related quantitative field
- Production experience with developing content recommendation algorithms at scale
- Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- Familiar with metadata management, data lineage, and principles of data governance