Software Engineer II
Core
Build and operate machine learning models and AI-driven systems to enhance the reliability of Disney's streaming ecosystem by transforming telemetry into automated detection and proactive insights.
Role type
Senior IC machine learning engineer (observability)
Builds
Production ML models, real-time inference pipelines, and AI-driven investigation tools for Disney+, Hulu, and ESPN.
Domain
Streaming media, observability, anomaly detection
Deliverable
production ML models
Required skills
PyTorch, TensorFlow, Python, FastAPI, time-series modeling, autoencoders, feature engineering, model training, MLflow, PySpark, Pandas, Databricks, AWS/EKS, Docker, GitHub
Preferred skills
Foundation model integration, prompt engineering, RAG architectures, LangChain, LangGraph, observability platforms (Datadog, Grafana), large-scale data platforms (Snowflake)
Technologies
PyTorch, TensorFlow, FastAPI, MLflow, PySpark, Pandas, Databricks, AWS, EKS, Docker, GitHub, LangChain, LangGraph, Datadog, Grafana, Conviva, Snowflake
Responsibilities
Contribute to production ML models for anomaly detection including autoencoders and ensemble systems; Develop and improve ML training pipelines using PyTorch on GPU clusters; Engineer features from time-series telemetry; Support real-time ML inference systems; Build AI-driven capabilities using foundation models; Create and deploy scalable APIs and services; Partner cross-functionally to embed ML intelligence into workflows; Contribute to model improvement through evaluation and retraining.
Seniority
Mid-level, hands-on IC