Who can apply: US-based role. The employer has not said which states are eligible — confirm before applying.

Location as listed by the employer: “Seattle”

Opens the employer's official application page.

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About this role

Careers.Azx.Io is hiring for a Senior ML Engineer (Energy & Utilities) role (full-time). See the official posting for full details.

Requirements

5+ years of shipping applied ML on real-world signals — forecasting, disaggregation, detection/classification on interval or sensor data, survival/reliability modeling, or an adjacent-industry equivalent
Strong numerical and scientific computing skills: feature engineering from raw interval data, solver-level numerics when needed, and a healthy distrust of your own metrics.
Python plus a systems language — the models and tooling are Python, the engine is Rust; depth in one, working ability in the other, and the appetite to close the gap (Rust is teachable here; modeling judgment isn't).
Library craft: you build things other engineers consume — versioned, tested, documented, with an API you'd want to call yourself.
Willingness to do your own data engineering — finding, cleaning, joining, and profiling inputs yourself rather than trusting a prepared dataset.
Practical fluency in our core stack — Python 3.12+ (numpy, pandas/polars, scikit-learn, statsmodels), time-series feature engineering, forecasting/clustering libraries (sktime/statsforecast-class), and SQL/Postgres or T…
Comfort picking up Rust (or a comparable systems language) via PyO3/maturin, and building evaluation harnesses and CI for scientific software.
Willingness to ramp quickly on energy-domain vocabulary if you don't already have it

Summarized from the employer's posting — check the full posting for every requirement.

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