How to apply for Senior ML Engineer (Energy & Utilities)

About AZX, PBC.

AZX, PBC is a company focused on AI transformation for critical industries, specializing in physics-informed ML and enterprise AI solutions. They work with clients in real estate, energy, logistics, and utilities, and their work addresses climate and sustainability challenges. The company bootstrapped profitably for its first year and is now backed by investors focused on AI, climate, and energy.

About the role

As a Senior ML Engineer (Energy & Utilities), you will build AI models and tools that power AZX's work with utility clients. This includes a fast building-energy simulation engine, tools for reading real-time grid sensor data, and utilities for standardized building data formats. You will build reusable capabilities used across many client engagements, rather than being assigned to one client account, and some of your work will be published as open source.

A typical day

A typical day might involve developing ML models for building energy simulation, writing code to process real-time grid sensor data, and building utilities for standardized building data formats. You may also collaborate with client-facing teams to understand their needs and ensure your tools are reusable across engagements. Some time may be spent on open-source contributions and documentation.

Who AZX, PBC. is looking for

• Experience building ML models for energy systems, building energy simulation, or grid data.
• Proficiency in developing reusable tools and infrastructure, not just one-off models.
• Comfort working with real-time sensor data and standardized building data formats.
• Interest in open-source development and building capabilities used by external engineers.

Tips for this application

• Highlight any experience with physics-informed ML or energy simulation in your resume.
• Mention specific projects where you built reusable tools or infrastructure for ML.
• If you have contributed to open-source projects, describe them and link to your contributions.
• Explain your interest in AZX's mission to accelerate positive impact in critical industries through AI.
• Tailor your application to show you understand the role's focus on utilities and energy systems.

What to cover in your cover letter

['Your experience with energy systems, building simulation, or grid data.', 'Examples of building reusable ML tools or infrastructure.', 'Any open-source contributions or experience with standardized data formats.', 'Why you want to work at AZX and how you align with their mission.']

Research before applying

• AZX's current projects and clients in the energy and utilities sector.
• The company's open-source contributions and published tools.
• Physics-informed ML and its role in energy systems.
• Standardized building data formats like EnergyPlus or Brick schema.

Likely interview topics

Based on the job description, expect questions about:

• How you would design a fast building-energy simulation engine.
• Your approach to processing real-time grid sensor data.
• Experience with physics-informed ML and its applications.
• How you ensure reusability and scalability in ML tools.
• Your familiarity with open-source development and standardized building data formats.

Common mistakes to avoid

• Focusing only on general ML experience without connecting it to energy or utilities.
• Not demonstrating experience with building reusable tools or infrastructure.
• Ignoring the open-source aspect of the role and not mentioning any relevant contributions.