Sr. Machine Learning Engineer, Energy Core Services, Digital Experience

Tesla’s Energy Core Services team is hiring a machine learning engineer to build production ML systems and agentic workflows for energy products and services. The role focuses on detecting and diagnosing quality issues, forecasting risks and failures, and enabling automated actions across Tesla Energy.

Responsibilities

• Train and deploy various types of machine learning models to production, including computer vision, NLP, and LLM-based models, that assist in understanding, detecting, or forecasting quality issues across Tesla Energy products and services
• Design and build data storage and ingestion systems specifically for machine learning use cases
• Complete statistical analyses to assist in understanding the occurrence rate, risk, and root cause of quality issues
• Build and deploy infrastructure that supports scalable machine learning processes, including automated retraining, model versioning and evaluation, and low-latency real-time inference
• Create agentic SI workflows that autonomously detect, diagnose, prioritize, and recommend remediation for operational challenges across Tesla Energy products and services
• Build and maintain dashboards, data visualizations, and metrics using BI tools such as Tableau and Power BI, as well as in-product dashboards, to support modeling use cases and implementation
• Assist business leaders in developing their strategy and quarterly planning through data-driven decisions, explaining model predictions and recommended actions to technical and non-technical stakeholders
• Write unit and integration tests to ensure that code functionality requirements are met
• Drive systems improvement by partnering with cross-functional software, data engineering, product, and operations teams to define data requirements, model evaluation frameworks, and deployment architectures

Skills

• Degree in Electrical Engineering, Mechanical Engineering, Physics, Computer Science, Applied Mathematics, or equivalent experience
• 3+ years of hands-on experience building and deploying production ML models, with strong focus on time-series analysis, anomaly detection, classification, or computer vision
• Deep expertise in ML frameworks and tools (PyTorch, TensorFlow, scikit-learn) and LLM application frameworks (e.g., LangGraph)
• Strong programming skills in Python and SQL, with proficiency in at least one compiled language (C#, Go, C++) for production backend services
• Proven experience working with large-scale datasets, event-driven data pipelines (e.g., RabbitMQ, Kafka), and real-time inference systems
• Deep understanding of statistical methods for anomaly detection, forecasting, root cause analysis, and causal inference
• Strong technical communication skills - ability to explain complex ML concepts and collaborate effectively with cross-functional teams
• Background in energy systems - solar, energy storage, power electronics, or grid operations - with ability to encode domain knowledge into ML models
• Experience with model optimization and MLOps - quantization, automated retraining, model versioning, and production monitoring

Benefits

• Cash and stock awards
• Medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both with options with a $0 paycheck contribution
• Company-paid Health Savings Account (HSA) contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match
• Employee Stock Purchase Plans
• Other financial benefits
• Company-paid Basic Life and AD&D
• Short-term and long-term disability insurance (90-day waiting period)
• Employee Assistance Program
• Sick and vacation time (flex time for salary positions; accrued hours for hourly positions)
• Paid holidays
• Back-up childcare and parenting support resources
• Voluntary benefits: critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
• Earned Wage Access: real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Company Overview

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