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 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 through managing 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 forecasting models while ensuring they translate into real trading revenue gains. The position requires expertise in Python, machine learning, and cloud systems, combined with a deep understanding of electricity markets.
This is an opportunity to directly impact the global adoption of renewable energy through advanced technology. You'll work with a diverse team of experts in machine learning, optimization, trading, and market analysis, while having the chance to mentor and grow a team of exceptional engineers. The role offers competitive compensation ($124,000-$216,000) plus equity, comprehensive benefits, and the chance to work on meaningful problems in the clean energy space.
Tesla provides an inclusive work environment with excellent benefits, including medical coverage with zero payroll deduction options, 401(k) matching, stock purchase plans, and various family support benefits. The position is based in the San Francisco Bay Area, where you'll be part of a team driving innovation in sustainable energy markets.
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 (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
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
- Health Savings Account (HSA) with company contribution
- 401(k) with employer match
- Employee Stock Purchase Plans
- Life, AD&D, short-term and long-term disability insurance
- Sick and Vacation time
- Back-up childcare
- Commuter benefits
- Employee discounts
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