Note: The job is a remote job and is open to candidates in USA. Skale is hiring a Senior Machine Learning Engineer for a profitable cloud-optimization company. The role owns a recommendation engine for right-sizing customers’ Kubernetes workloads and leads model-versus-heuristic decisions and end-to-end service ownership.
Responsibilities
- You’ll own the recommendation engine that right-sizes customers’ Kubernetes workloads, cutting cloud spend without putting anything at risk
- Seasonality, trend decomposition and anomaly detection on real production telemetry
- Separating real signal from load tests, startup spikes and autoscaling noise
- Prophet, percentile estimation and classical stats, used where they actually work
- Knowing when •not• to make a recommendation
- You’ll be the ML authority on a small, high-output team. You’ll make the model-vs-heuristic calls and own the service end to end
Skills
- 5+ years in software engineering, with 3+ shipping ML or statistical systems in production
- Deep, hands-on time-series forecasting experience
- Expert, production-grade Python (numpy, typed, tested)
- Working knowledge of Kubernetes resources and autoscaling
- MSc or higher in a quantitative field
Benefits
- Equity
- Remote (US preferred)
Company Overview