EnergyHub - Senior Forecasting and Optimization Engineer
Requirements
• Passion for enabling a carbon-free, distributed energy future • At least five years of experience in machine learning, statistical analysis, data visualization, control systems engineering, and/or mathematical optimization • Experience developing data pipelines using large-scale relational databases • Strong mathematical skills, with the ability to apply new mathematical techniques to real-world problems • At least three years of hands-on experience with Python and the scientific and machine learning tool stack (Pandas, Numpy, SciPy, Sklearn, PyTorch, and Tensorflow) • An ability to find valuable insights in large, complex datasets • Ability to explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting, and actionable • Ability to have fun while working on really hard problems with really smart people • Preferred Skills and Experience: Nice-to-haves • Experience bringing long-term research projects, such as an MS or PhD thesis, to a successful conclusion • Experience building large-scale timeseries forecasting models in a commercial software setting • Experience developing control and optimization solutions for large-scale problems • Experience building large-scale forecasting and machine learning products in the cloud (e.g., AWS, GCP, Azure, Snowflake, Databricks) • A strong background in mathematics and statistics • Experience using Large Language Models to accelerate software development and reliably add new capabilities to real products • Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. • Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. • Work with the latest technologies: • Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate. • Be part of something important: • EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. • To learn more, visit energyhub.com.
Responsibilities
• Develop and improve accurate and robust energy forecasting models • Develop and improve control and optimization algorithms • Design, write, test, and deploy production-grade code for mission-critical forecasting and optimization products and related algorithms • Build and use tools and processes to monitor and assess the quality of operational forecasting and optimization models • Translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders • Provide guidance to other engineers and scientists regarding machine learning, forecasting and optimization methods • Present results clearly to internal and external stakeholders • Collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams • Other duties as assigned
Benefits
• Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. • Collaborate with outstanding people: • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! • Make an immediate impact: • Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. • EnergyHub offers a generous benefits package including 100% paid medical for employees and a 401(k) with employer match. We offer a casual environment, the flexibility to set your own schedule, a fully stocked fridge and pantry, free Citi Bike membership, secure bike rack, gym subsidy, paid parental leave, and an education assistance program. • $150,000—$175,000 USD
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