Senior ML Engineer: Real-Time Ad Tech & Personalization

Oracle; Seattle (WA); On-site; USD 149,000 - 199,000; Full time

Benefits offered by this job

Bonus and long-term incentives

Medical and other benefits

Job summary

Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to design and deliver scalable ML-driven ad solutions within a high-throughput, low-latency microservices environment. You will enhance observability, translate user stories into actionable tasks, and own domain areas while collaborating across teams.

You will work with Java, large-scale ML platforms, and AI tooling (LLMs, vector databases, and retrieval augmented generation) to optimize ad selection

Qualifications

• BS or MS in Computer Science / Engineering or equivalent work experience.
• 5+ years of software engineering with ML experience.
• Proficiency with Java.
• Experience with large-scale ML/DL platforms and processing tech stack.
• Experience with LLm-based development using cloud services (AWS Bedrock, Azure Cognitive Services, Vertex AI).
• Experience with vector databases and retrieval-augmented generation.
• Familiarity with frameworks such as LangGraph, Crew AI, Strands SDK.

Responsibilities

• Design, implement, and test ad-serving logic in high-throughput, low-latency microservices.
• Improve observability with metrics, monitors, and alerts.
• Translate product stories into frontend/backend tasks.
• Own one or more domain areas within the team.
• Collaborate across teams and participate in on-call rotations.
• Work with automated AI tools while following policy.

Skills

Java

ML/DL engineering

PyTorch

scikit-learn

Spark MLLib

LLM-based development

LangGraph

Crew AI

Vectors & RAG

Kafka/Kinesis

AWS/GCP/Azure

Docker/Kubernetes

Education

BS or MS in Computer Science / Engineering

Tools

LangGraph

Crew AI

Strands SDK

Job description

Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to design and deliver scalable ML-driven ad solutions within a high-throughput, low-latency microservices environment. You will enhance observability, translate user stories into actionable tasks, and own domain areas while collaborating across teams.

You will work with Java, large-scale ML platforms, and AI tooling (LLMs, vector databases, and retrieval augmented generation) to optimize ad selection