Senior ML Engineer (Energy & Utilities)
AZX · Remote · Seattle ·
COMPENSATION
$140k – $230k
Listed on the employer's job board (Ashby)
- Senior ML Engineer
- Fully remote (US)
- Python + Rust
- Energy & Utilities AI
- No visa sponsorship
You will develop core AI capabilities that power client engagements across the energy industry, including forecasting, disaggregation, and asset health monitoring. Instead of working on single accounts, you will build tested libraries and a high-performance building-energy simulation engine used by all teams.
The position involves creating infrastructure for real-time grid sensor data and standardized building formats, much of which is published as open source. You will own the feedback loop with client pods to refine tools based on real-world field data.
What you'll do
- Own reusable ML libraries for forecasting, disaggregation, and demand response
- Build validated capabilities so client teams deploy proven components
- Manage the simulation engine using Rust crates and Python bindings
- Develop grid-data toolkits including protocol codecs and synthetic generators
- Support planning and dispatch for demand-response programs
- Publish versioned packages with attached evaluation evidence
- Track field performance errors to guide future development
What you'll need
- 5+ years shipping applied ML on real-world sensor or interval data
- Strong numerical computing and feature engineering skills
- Proficiency in Python and ability to work with or learn Rust
- Experience building versioned, tested, and documented libraries
- Willingness to handle own data engineering and cleaning tasks
- Fluency in Python 3.12+, numpy, pandas, and SQL/Postgres
- Comfort with time-series forecasting and clustering libraries
- Bachelor's degree required, Master's is a plus
Stack
- Python
- Rust
- numpy
- pandas
- polars
- scikit-learn
- statsmodels
- SQL
- Postgres
- TimescaleDB
How you'll work
- Fully remote culture with team cluster in Seattle
- Must be authorized to work in the United States
- Travel required twice per year for company summits
- No visa sponsorship available
What you get
- Competitive early-stage startup compensation
- Bonus eligibility
- Health insurance with dependent coverage
- Flexible paid time off
- Equity package
Hiring process
- Written take-home assignment
- Live two-hour technical session with engineering team
- Apply to maximum of two roles at a time