Senior ML Engineer, Energy & Utilities - Remote

Matcha; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Bonus eligibility

Health insurance

Equity

Fully remote

Job summary

AZX is seeking a Senior ML Engineer to build the AI models and underlying tooling that power our work with utility clients—reusable capabilities, a fast energy-simulation engine, and tools for real-time grid data. You’ll contribute across engagements and adjust approaches as field data evolves.

You will own libraries in Python and a Rust engine, publish components, and collaborate with cross-functional teams to ship robust, scalable solutions for energy systems.

Qualifications

• 5+ years shipping applied ML on real-world signals.
• Strong numerical and scientific computing skills.
• Proficiency in Python; systems language Rust; able to work in both.
• Experience building reusable libraries with docs and APIs.
• Willingness to perform data engineering tasks.

Responsibilities

• Own reusable ML libraries for forecasting, disaggregation, demand response, detection, and asset health.
• Deliver tested libraries with validation harnesses for client deployment.
• Own the Rust-based simulation engine and its Python bindings.
• Maintain grid-data toolkits and synthetic data generators.
• Develop planning and dispatch support for demand-response programs.
• Own the publish path with versioned crates and Python packages.
• Iterate based on field feedback from client pods.

Skills

Applied ML

Forecasting

Disaggregation

Detection

Survival modeling

Education

Bachelor's degree

Master's degree (plus)

Tools

Python

Rust

SQL/TimescaleDB

PyO3/maturin

Job description

AZX is seeking a Senior ML Engineer to build the AI models and underlying tooling that power our work with utility clients—reusable capabilities, a fast energy-simulation engine, and tools for real-time grid data. You’ll contribute across engagements and adjust approaches as field data evolves.

You will own libraries in Python and a Rust engine, publish components, and collaborate with cross-functional teams to ship robust, scalable solutions for energy systems.