Tesla's Autobidder team is at the forefront of sustainable energy transition, developing cutting-edge software solutions for energy storage monetization. As a Sr. Machine Learning Engineer, you'll join a team that has already generated over $420 million in trading profits and manages 7GWh+ of energy storage worldwide.
The role combines advanced machine learning expertise with real-world impact in the sustainable energy sector. You'll be responsible for developing and implementing sophisticated forecasting algorithms that power Tesla's Autobidder platform, which optimizes bidding strategies for grid-connected batteries and renewable resources.
Your work will directly influence the efficiency and profitability of Tesla's energy storage systems across global markets. The position requires deep expertise in Python, machine learning algorithms, and cloud infrastructure, with a focus on production-quality code and scalable solutions. You'll work with cutting-edge technologies and frameworks while collaborating with a multidisciplinary team of optimization engineers, traders, and market analysts.
The ideal candidate brings 4+ years of software development experience, strong mathematical background, and expertise in forecasting algorithms. You'll have the opportunity to mentor other engineers while working on challenging problems in electricity price formation and market dynamics. The role offers competitive compensation ($124,000-$216,000) plus equity and comprehensive benefits.
This position is perfect for someone passionate about combining technical excellence with environmental impact. You'll be part of Tesla's mission to accelerate sustainable energy adoption while working with some of the most advanced energy trading systems in the world. The role offers both technical challenges and the satisfaction of contributing to a more sustainable future through innovative technology solutions.