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 state-of-the-art software for maximizing the value of storage and renewable assets. As a Sr. Machine Learning Engineer, you'll join a multidisciplinary algorithmic trading team that has already generated over $420 million in trading profits and manages 7GWh+ of energy storage worldwide.
The role focuses on developing sophisticated forecasting algorithms for Autobidder, working with electricity prices and market outcomes. You'll be responsible for researching, prototyping, and implementing new forecasts while ensuring they translate into real trading revenue gains. This position combines cutting-edge machine learning with practical applications in energy markets.
You'll work with modern technologies including Python, cloud platforms, and advanced ML libraries, while collaborating with a diverse team of optimization engineers, traders, and market analysts. The position offers competitive compensation ($124,000-$216,000) plus equity and comprehensive benefits.
This is an ideal opportunity for an experienced ML engineer passionate about clean energy and interested in applying their skills to revolutionize energy markets. You'll have the chance to make a direct impact on sustainable energy adoption while working with a leading team in electricity market forecasting. The role offers both technical challenges and the opportunity to mentor others, making it perfect for someone looking to grow their career while contributing to environmental sustainability.
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 (AWS EC2, Google Compute Engine, Kubernetes, Docker)
- Expertise with Python libraries (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
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care Flexible Spending Accounts
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, short-term and long-term disability insurance
- Sick and Vacation time
- Back-up childcare and parenting support resources
- Commuter benefits
- Employee discounts and perks program
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