
Sr Machine Learning Engineer
The Walt Disney Company2 months ago
Seattle, WA, USA or Santa Monica, CA, USASenior
Base Salary
$142k - $199k/yr
Responsibilities
- Design, implement, and test rule-based or ML-based ad-selection logic in high-throughput, low-latency microservices.
- Enhance system observability through metrics, monitors, and alerts.
- Translate product user stories into actionable tasks for frontend and backend components.
- Own one or more team domain areas and contribute to scalable, performant, maintainable, and testable software.
- Apply ML models online and offline and define technical and operational metrics to manage system health and risk.
- Use automated AI tools according to company policy.
- Participate in on-call rotations under the team’s escalation policy and support schedule.
- Communicate and collaborate across teams, mentor others, and work effectively in a dynamic environment.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or relevant work experience.
- 5+ years of software engineering experience, specifically including machine learning experience.
- Proficiency with Java.
- Experience with large-scale ML/DL platforms and processing technologies, including tools such as scikit-learn, Spark MLlib, and PyTorch.
- Experience developing LLM-based applications with providers such as AWS Bedrock, Azure Cognitive Services, or Google Vertex AI.
- Experience with LangGraph, Crew AI, or Strands SDK for agent development.
- Experience with vector databases and retrieval-augmented generation.
- Strong analytical, problem-solving, communication, collaboration, and teamwork skills.
- Strong knowledge of AI/ML technologies and mathematical and statistical concepts.
- Preferred experience with Spring Boot, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, and Kubernetes.
- Ad tech domain knowledge is preferred.
Benefits
- Full-time employment with medical, financial, and other benefits dependent on the level and position.
- Engineers are expected to work in the office four days per week.
- The role hires in Glendale, Seattle, San Francisco, or Santa Monica.
- Bonus and/or long-term incentive units may be provided in addition to base compensation.
Tech Stack
Amazon DynamoDBApache KafkaApache SparkAWSDockerJavaKubernetesPyTorchRedisscikit-learnSpring BootTerraform