Machine Learning Engineer

About Sunairio

As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we've historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid.

Sunairio's mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk-and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.

The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we're now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology.

What we offer:

• The opportunity to join an industry-disrupting startup on the ground floor-with significant equity compensation
• The focus to work on innovative solutions to problems of critical importance
• A truly collaborative team environment
• The ability to help shape company culture
• Amazing swag
• Competitive salary
• 401(k) with company match
• Generous vacation policy

Machine Learning Engineer

Key Responsibilities

• The machine learning engineer will be responsible for developing, validating, and scaling machine learning models of energy resources, energy market prices, and energy sector environmental emissions, with an immediate focus on North America.
• Build and maintain flexible data pipelines
• Oversee the continuous monitoring of ML model performance
• Compose business standards that control model re-training and re-deployment according to engineering best practices
• Develop clear and succinct descriptions of modeling processes and outputs for use in business development and in customer applications
• Collaborate with the Data Science and Business Development teams to develop a world-class commercial platform

What we're looking for

• A passion for building new solutions that drive the energy transition
• 4+ years of experience in data science or software engineering, with a proven ability deploying production-level machine learning models
• Experience with statistical forecasting models and time series modeling
• Experience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray)
• Degree (M.S. preferred) in Economics, Finance, Computer Science, Physics, Mathematics, an engineering discipline, or related field
• A creative problem-solver with outstanding communication skills and a commitment to technical excellence
• Intellectual curiosity