# 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

- **Id**: 4150626
- **Url**: <https://alion.io/job/tesla-sr-machine-learning-engineer-energy-core-services-digital-experience>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Seniority**: senior
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: Fremont, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-12T02:02:52Z
- **Last verified at**: 2026-11-12T02:02:52Z
- **Board verified**: no
- **Days open**: 0
- **Description format**: text
- **Description chars**: 4780
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Energy Storage, Autonomous Driving, Solar Energy, Humanoid Robots

## Company

- **Id**: 23
- **Name**: Tesla
- **Domain**: tesla.com
- **Url**: <https://alion.io/company/tesla>
- **Size band**: 5000+
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

## Salary

- **Min**: 124000
- **Max**: 396000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 396000

## Technologies

- **Agentic Workflows** — Optional: no
- **AI Agents** — Optional: no
- **Anomaly Detection** — Optional: no
- **Apache Kafka** — Optional: no
- **C#** — Optional: no
- **C++** — Optional: no
- **Computer Vision** — Optional: no
- **Go** — Optional: no
- **LangGraph** — Optional: no
- **LLM** — Optional: no
- **Machine Learning** — Optional: no
- **NLP** — Optional: no
- **Power BI** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Quantization** — Optional: no
- **RabbitMQ** — Optional: no
- **Scikit-learn** — Optional: no
- **SQL** — Optional: no
- **TensorFlow** — Optional: no
- **TensorFlow C++** — Optional: no
- **Time Series** — Optional: no
- **LangChain** — Optional: yes

## Trust

- **Level**: not_scored
- **Days open**: 0

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-12T08:58:55Z

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 28
- **Reasons**: seen:0, win:early
- **Computed at**: 2026-11-12T10:38:37Z

## Pay

- **Stated usd annual**: 396000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.