2 hours ago
Base Salary
$140k - $225k/yr
Responsibilities
- Own reusable utility ML libraries for forecasting, disaggregation, demand response, detection, and asset health, including evaluation harnesses and documentation.
- Build tested, validated libraries so client teams can deploy proven components without recreating them for each engagement.
- Own the Rust-based simulation engine and Python bindings, including validation against a reference oracle, performance, and representative-archetype simulation at city scale.
- Build grid-data toolkits including protocol codecs, synthetic scenario generators, and verification utilities for realistic meter data.
- Develop planning and dispatch support for demand-response programs.
- Publish versioned crates and Python packages with evaluations and benchmarks attached.
- Track field failures with client teams and convert those findings into future capabilities.
Requirements
- At least 5 years of experience shipping applied ML on real-world signals such as forecasting, disaggregation, detection or classification, and survival or reliability modeling.
- Strong numerical and scientific computing skills, including feature engineering from raw interval data and solver-level numerics when needed.
- Strong Python skills plus working ability in a systems language; the role uses Python for models and tooling and Rust for the engine.
- Experience building versioned, tested, documented libraries with usable APIs for other engineers.
- Ability to find, clean, join, and profile data independently rather than relying only on prepared datasets.
- Practical fluency with Python, numerical and data libraries, time-series feature engineering, forecasting and clustering libraries, and SQL databases such as Postgres or TimescaleDB.
- Ability to work with Rust or a comparable systems language through PyO3 and maturin, and to build evaluation harnesses and CI for scientific software.
- Ability to learn energy-domain terminology quickly.
- Bachelor's degree required; master's degree is preferred.
Benefits
- Competitive early-stage startup compensation based on capabilities, experience, and location, plus bonus eligibility and equity.
- Health insurance with meaningful dependent coverage.
- Flexible paid time off.
- Fully remote culture with a cluster of teammates in Seattle.
- Travel twice per year for company summits.
- Applicants must be authorized to work full-time in the United States; visa sponsorship is unavailable.
Tech Stack
Categories
About AZX
Tech transformation, societal shifts and environmental disruption put enormous pressure on critical industries like energy, infrastructure, real estate and others to adapt, pursue new growth opportunities and optimize operations. AZX was created to meet these challenges head-on. We deliver AI transformation for critical industries providing strategy, execution and acceleration solutions. We prioritize code over powerpoint, applying start-up principles to challenge conventional thinking and develop strategic AI technology and business solutions that can be implemented quickly. We are mission-driven and client-centric, solving hard problems and building value for people, organizations and the planet. We are AZX.