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
ETL
Informatica
Machine Learning Engineer
Predictive Analytics
Spark
SQL
Job Description
Build scalable machine learning services for ad selection and decisioning across Disney Entertainment and ESPN platforms.
Responsibilities
- Design, implement, and test ad-serving logic that satisfies business criteria using rule-based and/or ML-based approaches
- Deliver solutions for a high-throughput, low-latency microservices environment
- Improve system observability by defining and implementing metrics, monitors, and alerts
- Review product user stories and translate them into actionable backend and frontend tasks
- Own one or more areas of the team’s domain
- Use automated AI tools in accordance with company policy
- Participate in On-Call rotations per the team’s 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 technology stacks
- Hands-on large scale machine learning experience with tools such as scikit-learn, Spark MLLib, and pytorch
- Experience building LLM-based applications using providers such as AWS Bedrock, Azure Cognitive Services, or Google Vertex AI
- Experience with agent frameworks including LangGraph, Crew AI, and strands sdk
- Experience with vector databases and retrieval-augmented generation
- Demonstrated analytical and problem-solving skills; strong knowledge of implementing AI/ML and applying mathematical and statistical concepts
- Strong communication and collaboration with both technical and non-technical partners
Technologies
- Java, SpringBoot, Spring
- 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
Preferred Qualifications
- Experience with SpringBoot and related Spring projects
- Experience with DynamoDB and other non-relational databases
- 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 Ad Tech
Location & Schedule
- Seattle, WA (onsite)
- Engineers are expected to be in the office four days a week
- Also hiring in Glendale, Seattle, San Francisco, or Santa Monica
Salary
- USD 141,900 - 199,400 per year
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