Senior Machine Learning Analyst

3 days ago


Palo Alto, California, United States Tesla Full time
About Us
Tesla is revolutionizing the way we think about energy. Our Autobidder team is leading the charge, using cutting-edge technology to maximize the value of storage and renewable assets. We're seeking a highly skilled Electricity Market Forecaster to join our team and help us achieve our mission. As a key member of our team, you will develop forecasting algorithms for Autobidder, research new machine learning approaches, and productionize them to ensure best-in-class performance.

Estimated Salary: $144,000 - $240,000 per year.

Job Description

The mission of the Autobidder team is to accelerate the world's transition to sustainable energy by maximizing the value of storage and renewable assets. We achieve this by building state-of-the-art software products for monetizing front-of-the-meter and behind-the-meter energy storage systems. Our flagship product, Autobidder, is an end-to-end automation suite for wholesale electricity market participation of grid-connected batteries and renewable resources that maximize revenues by optimally bidding in all available revenue streams in these markets.


Responsibilities
  • Develop forecasting algorithms for Autobidder.
  • Research new machine learning approaches to improve metrics and incorporate them into our platform.
  • Identify and integrate new data sources to enhance model performance.
  • Design scalable and reliable data pipelines to productionize and monitor both new and existing models.

Requirements
  • Proficiency in Python with at least 6 years of experience in software development, familiarity with software development practices, writing production-quality code, and agile development.
  • Experience with a variety of forecasting algorithms and approaches, including statistical, regression, and deep learning algorithms.
  • Expertise with relevant Python libraries such as pandas, numpy, xgboost, lightgbm, pytorch, sklearn, plotly, seaborn, and streamlit.
  • Demonstrated experience in developing and maintaining production ML platforms.

Benefits
  • Aetna PPO and HSA plans, dental, vision, and family-building benefits.
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits.
  • Company paid Basic Life, AD&D, short-term and long-term disability insurance.


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