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Hybrid Senior Machine Learning Engineer, Ad Selection
Posted 1 hour ago
About the role
- Senior Machine Learning Engineer optimizing ad selection for Disney's media platforms. Collaborating to enhance technology and develop innovative advertising solutions.
Responsibilities
- Designing, implementing, and testing logic to serve ads effectively adhering to various business criteria either with rule based or ML based solutions in a high-throughput, low-latency microservices environment.
- Enhancing systems’ observability with proper metrics, monitors, and alerts.
- Reading and understanding product user stories, and then translating them into actionable tasks for both frontend and backend components.
- Taking ownership of one or more of the team's domain areas.
- Understanding and using automated tools (AI) while adhering to company policy.
- Available for On-Call rotations based on 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 experience.
- Proficiency with Java
- Proficient in large scale ML/DL platforms and processing tech stack.
- Experience in large scale machine learning using tools such as scikit-learn, Spark MLLib, pytorch
- Experience with LLM-based application development, using LLM-as-a-service providers such as AWS Bedrock, Azure Cognitive Services, or Google's Vertex AI
- Experience using frameworks such as LangGraph, Crew AI, and strands sdk for developing agents
- Experience with vector databases and retrieval-augmented generation
- Demonstrable analytical / problem-solving skills.
- Strong knowledge of and experience implementing AI/ML technologies and applying mathematical and statistical concepts.
- Great communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package,
- Full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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