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Extensible Energy | Backend Software Engineer | Oakland, CA or Remote (US) | Full-time | https://extensibleenergy.com

Extensible Energy's software makes buildings flexible and responsive participants in the electric grid, enabling cleaner and more efficient energy generation and use. We're a startup poised for rapid growth. Join our team and help create the modern electric grid.

We are hiring a Back-End Software Engineer. Our system handles data ingestion, analytics, and continuous closed-loop control of remote hardware, along with user interfaces, reporting, and sales tools. The software engineer will help create and expand the backend software running our cutting-edge energy management software.

For more details and to apply see https://www.extensibleenergy.com/careers.


Extensible Energy | Backend Software Engineers | Oakland, CA or Remote (US) | Full-time | https://extensibleenergy.com

Extensible Energy's software makes buildings flexible and responsive participants in the electric grid, enabling cleaner and more efficient energy generation and use. We're a startup poised for rapid growth. Join our team and help create the modern electric grid.

We are hiring Back-End Software Engineers. Our system handles data ingestion, analytics, and continuous closed-loop control of remote hardware, along with user interfaces, reporting, and sales tools. The software engineers will help create and expand the backend software running our cutting-edge energy management software.

For more details and to apply see https://www.extensibleenergy.com/careers.


Extensible Energy | Backend Software Engineer and Devops Engineer | Oakland, CA or Remote (US) | Full-time | https://extensibleenergy.com

Extensible Energy's software makes buildings flexible and responsive participants in the electric grid, enabling cleaner and more efficient energy generation and use. We're a startup poised for rapid growth. Join our team and help create the modern electric grid.

We are hiring a Back-End Software Engineer and a DevOps Engineer. Our system handles data ingestion, analytics, and continuous closed-loop control of remote hardware, along with user interfaces, reporting, and sales tools. The software engineer will help create and expand the backend software running our cutting-edge energy management software. We deploy on AWS along with grid-edge IoT compute devices at customer sites. The DevOps Engineer will support a range of infrastructure needs, including deployment, monitoring, scaling, and more.

For more details and to apply see https://www.extensibleenergy.com/careers.


Extensible Energy | Data Scientist | Berkeley, CA | Full-time | ONSITE

We are a cleantech innovator developing amazing software to integrate more solar into the grid while saving commercial electricity customers money. Led by serial entrepreneurs with a track record of success in this field, we're growing -- and growth provides great opportunities for the right new team members. We are in need of a Data Scientist to build and evaluate models of energy production and usage in commercial buildings. This is a unique opportunity to become a core part of team of energy entrepreneurs. The Data Scientist's work will be integrated into a shipping commercial product.

Responsibilities

    - Research and develop statistical learning models, with an emphasis on timeseries forecasting
    - Collaborate with product manager, software engineers, and building engineer
    - Develop contacts with customers, partners, and public entities required to obtain rich data sources for model development
    - Maintain careful documentation of data sources, data validation, and modeling processes
Qualifications

    - Advanced degree in computer science, statistics, applied math, economics, engineering, or related field
    - Rigorous understanding of statistical modeling and timeseries forecasting
    - Several years practical experience with statistical languages, database programming, and data analysis (particularly machine learning, neural networks, and time-series analysis)
    - Extensive background in real-world statistical analysis
    - Excellent pattern recognition and predictive modeling skills (including thoughtful evaluation of how applicable and "good" a model is to a specific problem)
    - Enough machine learning experience to be dangerous
    - Real-world Python experience required
    - Knowledge and interest in energy and building modeling desirable


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