Founding ML Platform Engineer, Energy Intelligence
Joulent · Energy
unknown
Salary Range (USD)
Negotiable
Location
San Francisco, USA
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • own the whole spine: ISO/RTO market feeds, weather and plant telemetry through feature store, serving, drift detection and the model gateway
- • trust infrastructure: lineage, freshness SLAs, point-in-time correctness, eval gates that can block a model
Required Skills
5+ years on production data and ML platformsPythonSQLAirflowcontainersIaC
Engineering Culture & Tech Stack
PythonSQLAirflowcontainersIaC
trust infrastructure
lineage
freshness SLAs
point-in-time correctness
eval gates
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Joulent | Founding ML Platform Engineer, Energy Intelligence | San Francisco | HYBRID | Full-time | equity
We deliver multi-gigawatt power to AI data centers, and this is the founding hire on the team that forecasts load and market prices. You own the whole spine: ISO/RTO market feeds, weather and plant telemetry through feature store, serving, drift detection and the model gateway.
Not a scale problem — the data is rich, not petabyte. Feeds land late and get revised after the fact without ever throwing an error, so the failure mode is a price series quietly wrong for three weeks behind a forecast that looks fine. The work is trust infrastructure: lineage, freshness SLAs, point-in-time correctness, eval gates that can block a model.
Python, SQL, Airflow, containers, IaC. 5+ years on production data and ML platforms; energy background welcome, not required.
JD: https://joulent.github.io/careers/ — sandy.suresh@joulent.com
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