Tesla's Autobidder team is at the forefront of sustainable energy transition, developing sophisticated software for maximizing the value of storage and renewable assets. The team manages over 7GWh of energy storage worldwide and has generated over $420 million in trading profits. As a Staff Machine Learning Engineer, you'll be crucial in developing and improving forecasting algorithms for Autobidder, working on electricity price predictions and market outcomes. The role combines cutting-edge machine learning with real-world impact in the sustainable energy sector.
You'll lead the forecasting platform's evolution, conducting innovative research to improve metrics and integrate new data sources. The position requires expertise in Python, machine learning, and cloud systems, with a focus on production-quality code and scalable solutions. You'll collaborate with a multidisciplinary team of optimization engineers, traders, and market analysts while mentoring other machine learning engineers.
The role offers competitive compensation ($144,000-$240,000) plus stock awards and comprehensive benefits. Tesla provides an inclusive work environment with opportunities for professional growth and direct impact on sustainable energy adoption. You'll be working in Palo Alto, contributing to Tesla's mission while developing expertise in electricity markets and advanced forecasting techniques.