Machine Learning Engineer

The Company You’ll Join

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.

Our Strategy

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 problems you’ll solve

The data team has deep expertise on algorithms and machine learning science. This new role will bring ML best practices to the Data Science teams.

• Collaborate with data science and engineering to establish machine-learning and data management workflows
• Create tools and processes that maximize machine-learning output and use of resources
• Improve capabilities of monitoring, debugging and overall management of models
• Partner with data science to proactively iterate and fine-tune model training for best performance and efficiency

You may be a fit for this role if

You have senior level expertise with building machine learning models. Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure. You have strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Proven experience in optimizing ML models for performance and scalability, including parallel computing and distributed systems. You have strong experience in OO design and programming in Python.

Benefits & Perks

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.

• Competitive salary plus stock option package. Compensation based on geographical location.
• Medical, dental and vision insurance
• Family planning benefits through Carrot which includes IVF plus preservation treatments, adoption and gender affirming care.
• Access to mental health services
• Annual company retreat
• Pre-tax commuter benefits plus CitiBike annual subscription.
• Work from home budget
• 401k
• Learning and development opportunities
• Flexible PTO policy
• Remote

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.