Senior AI/ML Engineer for Signals & Streaming Analytics

Aimlroles; Denver (CO); Presencial; USD 150.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Full coverage

Bonus & merit

Work-life balance

401(k)

Tuition reimbursement

Descripción de la vacante

STARZ is seeking a Senior Engineer, AI/ML to surface signals from large datasets and translate them into actionable insights for engineering teams. You will work across STARZ’s Snowflake data warehouse and streaming telemetry, identifying signals that extend beyond standard dashboards.

Responsibilities include building a repeatable signals framework, applying ML techniques such as anomaly detection and time‑series forecasting, and leveraging generative AI to accelerate insight generation.

Formación

• 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.
• Strong background in SQL and large‑scale cloud data warehouses; Snowflake experience preferred.
• 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.
• Familiarity with generative AI, LLMs, and emerging AI techniques (Agents, RAG, Prompt Engineering) in applied analytical contexts.

Responsabilidades

• Proactively explore a wide and growing range of technology data domains including video operational playback and workflows, customer care interactions, device lifecycle, and authentication events surfacing hidden signals that go well beyond standard dashboards.
• Own a repeatable signals framework, defining which KPIs and metrics to monitor, at what thresholds, and why they matter.
• 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.
• Apply ML models including anomaly detection, classification, clustering, and time-series forecasting as analytical tools to uncover insights.
• Leverage generative AI and LLMs to accelerate insight generation, automate summarization of logs and telemetry, and augment root‑cause analysis across technology domains.

Conocimientos

SQL

Snowflake

ML lifecycle

Anomaly detection

Time-series forecasting

Educación

Bachelor's degree in CS/Engineering/Statistics

Herramientas

Kafka/Kinesis

AWS

TensorFlow

Keras

scikit-learn

Descripción del empleo

STARZ is seeking a Senior Engineer, AI/ML to surface signals from large datasets and translate them into actionable insights for engineering teams. You will work across STARZ’s Snowflake data warehouse and streaming telemetry, identifying signals that extend beyond standard dashboards.

Responsibilities include building a repeatable signals framework, applying ML techniques such as anomaly detection and time‑series forecasting, and leveraging generative AI to accelerate insight generation.