S
$150,000 – $180,000
Listed on Starz’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
STARZ is seeking a senior machine learning engineer to extract actionable insights from their streaming platform's operational data using advanced analytics, anomaly detection, and generative AI techniques. This role suits someone with deep experience applying ML models to large-scale telemetry and is positioned to shape how the company's engineering teams respond to data-driven signals.
Our summary, not Starz’s wording. The full posting is on their site.
Skills this role names
- Amazon CloudWatch
- Anomaly Detection
- Apache Kafka
- AWS Lambda
- Generative AI
- Keras
- LLMs (Large Language Models)
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
- scikit-learn
- Snowflake
- SQL
- Statistical Hypothesis Testing
- TensorFlow
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What they ask for
Required
- Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or related quantitative field
- 5–8+ years in data science, analytics engineering, or related technical discipline
- Strong SQL and large-scale cloud data warehouse experience
- Hands-on ML lifecycle experience: feature engineering, data quality, anomaly detection, classification, clustering, time-series forecasting on operational or telemetry data
- Ability to identify meaningful patterns in noisy operational or telemetry datasets
Nice to have
- Snowflake experience
- Generative AI, LLMs, and emerging AI techniques (Agents, RAG, Prompt Engineering) in applied analytical contexts
- Experience in media, streaming, or digital content businesses
- Familiarity with video streaming telemetry, CDN logs, QoE/QoS metrics
- Experience with pipeline orchestration frameworks