1AP is building the next generation power plant technology: turnkey, optimized power systems delivering clean, Hyperfirm, high-capacity power for demanding customer loads in a rapidly electrifying world. Backed by Unreasonable.
About the role
The range provided is 1AP’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 6+ years of software engineering, including 3+ years building machine learning for production
- Strong Python and SQL background with hands-on modern ML libraries experience
- Strong data engineering: reliable pipelines for large volumes of sensor and time-series data
- ML systems: training and evaluation pipelines, model registry and production monitoring
- Experience with modern data platforms: data lakes, streaming and workflow orchestration
- Infrastructure as code: Terraform or similar
More about this role
Team: Software
1AP builds software-defined power systems: utility-scale solar and storage plants designed, built and run on one software stack, from the layout of the land to the electronics on every string.
Plant Intelligence is the layer that understands each plant: how it is designed, how it should perform and how it actually runs. It spans site design, performance modeling, digital twins, forecasting and asset health.
This is the first machine learning role on Plant Intelligence, shaping how AI becomes part of every plant.
- Combine physics and machine learning into models that predict how each plant performs.
- Build the data foundation: capture and label operations, maintenance and field data for model training.
- Build the pipelines every model is trained, evaluated and deployed through.
- Package models for the plant, working with Plant Infrastructure on running them on site.
- 6+ years of software engineering, including 3+ years building machine learning for production.
- Strong Python and SQL background with hands-on modern ML libraries experience.
- Strong data engineering: reliable pipelines for large volumes of sensor and time-series data.
- ML systems: training and...
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