Amperon is the leading analytics and forecasting company for the energy transition. Our platform leverages advanced algorithms and machine learning techniques to accurately forecast energy demand on both the supply (power & utilities companies) and demand (large energy users) sides of the market. We incorporate real-time data feeds that help our clients reduce cost, monitor energy efficiency while increasing substantially.
We bring the brightest mind from energy, security and technology in order to combat climate changes and transition to clean energy solutions. We have offices in Texas but are a remote first company.
Amperon operates at the intersection of energy data, AI, and domain expertise to empower the world to navigate the energy transition more effectively. Using best-in-class data ingestion and management infrastructure, coherent AI/ML models, and leading-edge predictive analytics, Amperon provides tools that generate economic and societal value.
Amperon seeks to modernize the grid data and AI software stack to improve reliability, optimize asset economics, and accelerate decarbonization for grid operators, asset owners, and end-users. We're building the next generation of market-leading energy analytics and forecasting products, and we want you to be part of our journey!
The team has deep expertise on algorithms and machine learning science but we need someone to build scalable engineering solutions for machine learning systems. This new role will aim to bridge this gap and improve the engineering quality of the data science team and the broader org. Some of the problems you'll solve include:
You have senior level expertise with building machine learning models. You have extensive experience with data collection and data processing. Experience with techniques like data cleaning, normalization, and feature engineering to prepare the data for modeling. Proven experience integrating trained models into production systems, ensuring they scale and perform reliably. You have strong experience in OO design and programming in Python
While we are serious about our company's culture, we aren't going to force "culture" to prove that we are cool and fun. It’s a company filled with smart, genuinely nice individuals who are passionate about data science, energy and working together to build a product that can have a lasting impact on our planet.
Even though we are a remote company with employees spread across the globe, we still believe human interaction is a good thing. We will also have an all-company event at least once a year so people can get to know each other in a more fun and social way.
If you are excited about contributing to a product that can have a lasting impact on our planet and you thrive in fast-paced, innovative environments, we would love to hear from you.