Starz
Sr. Engineer, Machine Learning/Artificial Intelligence
Denver, CO (Greenwood Village) · Senior
Sponsorship not specified$150k-$180kDetected 30 days ago
SQLSnowflakeAWSKafkaMachine LearningTensorFlowscikit-learnData AnalysisData ScienceLLMsRAGAgentic AIAI OrchestrationStatisticsA/B TestingIncident ResponseAccessibilityForecastingCadenceLeadership
About the role
- Job Description STARZ is seeking a technically deep and analytically driven Senior Engineer, AI/ML to find the signals that matter from our data.
- This role is for someone who thrives on navigating large, complex datasets, applying AI, machine learning, and advanced analytics to surface the patterns, anomalies, and insights that engineering teams need to act on.
- All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws.
Responsibilities
- Own a repeatable signals framework, defining which KPIs and metrics to monitor, at what thresholds, and why they matter
- Serve as a strategic analytical partner to Engineering, Customer Care, Product/UX, and Executives embedding technology signals into planning, incident response, and prioritization
- Establish a signals review cadence with technology leadership and mentor junior analysts to build a broader culture of signal-driven thinking
Requirements
- Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field
- 5-8+ years of hands-on experience in data science, analytics engineering, or a closely related technical discipline
- Hands-on experience across the ML lifecycle: feature engineering, data quality, anomaly detection, classification, clustering, and time-series forecasting applied to operational or telemetry data
- AI & Generative AI: experience with AI Agents, Prompt Engineering, RAG, MCP, AI safety and security practices (guardrails, grounding, output validation)
- experience with AI Agents, Prompt Engineering, RAG, MCP, AI safety and security practices (guardrails, grounding, output validation)
- Strong background in SQL and large-scale cloud data warehouses; Snowflake experience preferred
Nice to have
- Familiarity with generative AI, LLMs, and emerging AI techniques (Agents, RAG, Prompt Engineering) in applied analytical contexts
- Demonstrated ability to identify signals in noisy operational or telemetry datasets, distinguishing meaningful patterns from statistical noise
- Experience in media, streaming, or digital content businesses strongly preferred
- Strong background in SQL and large-scale cloud data warehouses
- Snowflake experience preferred
Skills
- Snowflake, transformation frameworks, advanced SQL, BI tooling
Compensation
- Annual discretionary bonus and merit increase
- $150,000 - $180,000
Benefits
- Full Coverage - Medical, Vision, and Dental
- Annual discretionary bonus and merit increase
- Work/Life Balance - generous sick days, vacation days, holidays, and wellness days
- Tuition Reimbursement (up to graduate degree)
- Apply machine learning and statistical techniques to detect emerging issues, degradation patterns, and risk trends before they appear in operational metrics
- Define platform health indicators and alert thresholds ensuring signals are routed to the right teams at the right time with clear escalation paths
This listing is sourced directly from Starz's careers page and normalized into a canonical job model.