Sr Machine Learning Engineer
Advanced Analytics
Ai Ml
Analytics
Artificial Intelligence
Big Data
Bigdata
Data & Ai
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Mining
Data Pipeline
Data Platform
Data Processing
Data Science
Database
Databases
Digital Marketing
Engineer
ETL
Informatica
Machine Learning Engineer
Predictive Analytics
Spark
SQL
Job Description
Disney Entertainment and ESPN Product & Technology is hiring a Senior Machine Learning Engineer (Ad Platforms, Decisioning Fleet/Selection squad) to build services and models that improve ad fill efficiency across Hulu, Disney+, ESPN, and other platforms.
Responsibilities
- Design, implement, and test ad-selection logic that meets business criteria using rule-based or ML-based approaches
- Deliver high-throughput, low-latency logic in a microservices environment
- Improve system observability by defining metrics, monitors, and alerts
- Translate product user stories into actionable tasks across frontend and backend components
- Own one or more domain areas within the team
- Use automated tools (AI) in accordance with company policy
- Participate in on-call rotations based on team escalation policy and support schedule
Requirements
- BS or MS in Computer Science / Engineering or relevant work experience
- 5+ years of software engineering with ML experience
- Proficiency with Java
- Experience with large-scale ML/DL platforms and processing stacks
- Experience with large-scale machine learning using: scikit-learn, Spark MLLib, pytorch
- Experience building LLM-based applications using LLM-as-a-service providers such as: AWS Bedrock, Azure Cognitive Services, or Google Vertex AI
- Experience with agent and orchestration frameworks including: LangGraph, Crew AI, and strands sdk
- Experience with vector databases and retrieval-augmented generation
- Demonstrated analytical and problem-solving skills, including strong knowledge of AI/ML implementation and mathematical/statistical concepts
- Strong communication and collaboration skills with technical and non-technical stakeholders
Technologies
- Java, Spring, SpringBoot
- scikit-learn, Spark MLLib, pytorch
- AWS Bedrock, Azure Cognitive Services, Google Vertex AI
- LangGraph, Crew AI, strands sdk
- Vector databases, retrieval-augmented generation
- DynamoDB, Redis, ValKey, MemCache
- Apache Kafka, Kinesis
- AWS, Terraform
- Docker, Kubernetes
What you bring daily
- Ability to communicate and collaborate effectively across teams and systems
- Understanding of project ownership
- Interest in mentoring, learning, and adapting in a dynamic, fast-paced environment
- Understanding of microservice encapsulation and loose coupling
- Understanding of ML models and how to leverage them online and offline
- Ability to define technical and operational metrics for system health and risk management
- Kindness and pragmatic optimism
Preferred Qualifications
- Experience with SpringBoot and related Spring projects
- Experience with non-relational database technologies such as DynamoDB
- Experience with caching datastores such as Redis, ValKey, or MemCache
- Experience with data streaming mechanisms such as Apache Kafka and/or Kinesis
- Experience with AWS
- Experience with modern DevOps tools including Terraform, Docker, and Kubernetes
- Domain knowledge in the Ad Tech industry
Location and schedule
- Seattle, WA (onsite)
- Engineers are expected to be in the office four days a week
- Role also available in Glendale, Seattle, San Francisco, or Santa Monica
Compensation: USD 141,900 - 199,400 per year.
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