Sr. Machine Learning Engineer, Energy, Service - Palo Alto [266468]

$124,000 - $258,000 yearly

Job Description

Tesla's Energy Intelligence team needs a hands-on technical expert who can architect and build production ML systems that transform massive streams of energy telemetry into predictive intelligence keeping our industrial, residential, Supercharger, Solar, and future energy products running at peak health. You will merge deep understanding of energy systems with cutting-edge ML/AI techniques to detect anomalies, predict failures, and enable autonomous diagnostics across our global energy fleet.

You will build production-grade anomaly detection frameworks, predictive maintenance systems, and agentic AI workflows that isolate performance degradation, forecast component failures, and trigger automated mitigation strategies across Industrial Energy, Residential Energy, and Solar Product & Service Engineering. Your work will eliminate downtime, prevent catastrophic failures, and fundamentally transform how Tesla diagnoses and resolves fleet-wide issues before they impact customers.

The Role

  • Architect and deploy advanced ML systems for real-time anomaly detection, fault prediction, root cause analysis, and performance optimization across diverse energy telemetry streams (voltage, current, temperature, power output, efficiency metrics, etc.)
  • Design physics-informed ML frameworks that combine domain knowledge from electrical and mechanical engineering with state-of-the-art data-driven techniques for superior model performance and generalization
  • Build and scale production ML pipelines that process high-volume, multi-modal time-series data from millions of energy assets with sub-second latency and high reliability
  • Develop interpretable AI systems that explain anomalies, predictions, and recommended actions to technical and non-technical stakeholders, enabling confident decision-making
  • Create agentic AI workflows that autonomously detect, diagnose, prioritize, and recommend remediation for operational and maintenance challenges across global energy fleets
Anthony Antonucci

Qualifications

Relevant experience in Engineering & Information Technology; strong problem-solving skills; commitment to Tesla mission.

Immediate Fill

No