AI/ML Engineer - Time-Series

AI/ML Engineer - Time-Series | stepscale ← All open roles AI/ML Engineer - Time-Series Remote (EU / Israel timezones) · Full-time · Competitive + meaningful equity About the role stepscale AI’s value comes from the models that learn workload patterns and recommend scaling configurations. You will own the modeling stack: feature engineering on noisy real-world metrics, training pipelines, deployment, and the evaluation framework that proves a recommendation is actually better than what the customer had. What you will work on • Forecasting models for queue depth, task utilisation, and processing rates across hourly / daily / weekly cycles • Anomaly detection that separates predictable peaks from incidents • The evaluation harness - synthetic + historical replays comparing AI-tuned configs against the customer’s current configuration • The recommendation policy that turns a forecast into a concrete config diff (thresholds, min/max bounds, cooldowns) What we are looking for • 4+ years building production ML systems on time-series data - forecasting, anomaly detection, or similar • Strong Python and a solid statistical foundation; deep-learning experience nice but not required • Comfortable defending modeling choices with numbers, not vibes • Bonus: experience with observability data (Prometheus, CloudWatch) or scheduler / autoscaling problems How we work Remote, async by default. You will be one of the first ML hires; expect to build the platform you and future engineers depend on. We give research time, but the bar is shipping models that customers run against. Apply Send a CV + a few lines on why this role. Apply now