Sr. Machine Learning Engineer, Autobidder
Description For Sr. Machine Learning Engineer, Autobidder
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.
Responsibilities For Sr. Machine Learning Engineer, Autobidder
- Design, develop, and revolutionize internal forecasting platform
- Conduct research to identify new machine learning approaches
- Identify and integrate new data sources to enhance model performance
- Design scalable and reliable data pipelines
- Deliver electricity market-related forecasts
- Mentor and develop a growing team of machine learning engineers
- Collaborate with optimization engineers, traders, market analysts, and software engineers
Requirements For Sr. Machine Learning Engineer, Autobidder
- Proficiency in Python with at least 4 years of experience in software development
- Experience with forecasting algorithms including statistical, regression, and deep learning
- Experience with cloud-hosted systems and related tooling
- Expertise with Python libraries such as pandas, numpy, xgboost, lightgbm, pytorch, sklearn
- Experience in developing and maintaining production ML platforms
- Degree in Mathematics, Machine Learning, Statistics, or equivalent experience
- Domain expertise in electricity markets
- Experience in shipping production models in time series forecasting or reinforcement learning
Benefits For Sr. Machine Learning Engineer, Autobidder
- Medical insurance with $0 payroll deduction options
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans
- Company Paid HSA Contribution
- Healthcare and Dependent Care FSA
- 401(k) with employer match
- Employee Stock Purchase Plans
- Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare
- Commuter benefits
- Employee discounts
