Staff Machine Learning Engineer, Autobidder
Description For Staff Machine Learning Engineer, Autobidder
Tesla's Autobidder team is at the forefront of sustainable energy transition, developing sophisticated software for maximizing the value of energy storage systems. As a Staff 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 cutting-edge machine learning with real-world impact in the renewable energy sector. You'll be responsible for developing and implementing forecasting algorithms that directly influence trading decisions and revenue generation. The position requires expertise in both technical aspects (Python, ML algorithms, cloud systems) and domain knowledge of electricity markets.
Working at Tesla means joining a company with a proven track record in sustainable technology innovation. The team operates at the intersection of machine learning, numerical optimization, and electricity trading, providing a unique opportunity to work on complex problems with meaningful environmental impact. The compensation package is competitive, starting from $144,000 to $240,000 annually, plus additional cash and stock awards.
The role offers significant growth potential, allowing you to lead and mentor a team while working on challenging technical problems. You'll collaborate with various specialists, from optimization engineers to traders, ensuring your work directly contributes to the company's mission of accelerating the world's transition to sustainable energy.
Benefits are comprehensive, including zero-cost medical insurance options, 401(k) with employer match, stock purchase plans, and various family-friendly policies. The position is based in the San Francisco Bay Area, putting you at the heart of Tesla's innovation hub.
This role is ideal for someone who combines strong technical skills with a passion for sustainable energy, offering the opportunity to work on meaningful projects while advancing their career at a leading technology company.
Responsibilities For Staff Machine Learning Engineer, Autobidder
- Lead the design, development and evolution of 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 Staff Machine Learning Engineer, Autobidder
- Proficiency in Python with at least 6 years of experience in software development
- Experience with forecasting algorithms including statistical, regression, and deep learning algorithms
- 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 or reinforcement learning
Benefits For Staff 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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