Machine Learning Scientist (Staff / Senior Staff)

Summary

Join Equilibrium Energy, a well-funded clean energy startup, as a Machine Learning Scientist to accelerate the design and delivery of machine learning models, probabilistic forecasts, and insights dashboards.

Requirements

• Passion for clean energy and fighting climate change
• An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline
• 4+ years experience in data science, research science, machine learning, or similar role, applying and adapting deep learning, graph neural networks, or reinforcement learning techniques to time series regression & forecasting problems
• 2+ years experience in the electricity & energy domain (e.g. electricity price forecasting, congestion prediction etc)
• 3+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc.)
• Experience developing, releasing, and tracking performance of ML models in production
• Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences
• A collaboration-first mentality, with a willingness to teach as well as learn from others

Responsibilities

• Use research insights to shape product direction
• Formulate and apply novel machine learning solutions to the energy domain
• Performance evaluation

Benefits

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package
• Opportunity to own a significant piece of the company via a meaningful equity grant
• Unlimited vacation and flexible work schedule
• Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London