ML Engineer (Remote or SF)
almost 2 years ago
Full time role
Remote · San Francisco, CA, US
Remote · San Francisco, CA, US
Job Description
Our Mission
Lumen Energy is automating clean energy deployment.
To start, we’re making getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: out of 6 million commercial buildings in the US which are responsible for 16% of all greenhouse gas emissions, most of which could save money with solar, fewer than 4% have solar systems today.
We make clean energy widely accessible by abstracting away the complexity of an underlying marketplace of installers, financiers and confusing electrical jargon. Our challenge is to parse massive datasets, deploy advanced models behind the scenes, pre-package financing, all so that we can deliver simple, delightful, and actionable offers to our customers.
Once the decision has been made to go solar, we support our customers with software tools that help manage the processes of securing financing, evaluating bids and selecting a contractor and finally, managing a live solar deployment.
Who We Are
We are a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy. We build on experience at Stripe, Google X, Shopify, and US national labs. While we're early in our journey, we are live with customers, funded by exceptional investors (soon to be announced), and looking to bring on a core team member who can help us expand our impact.
We are a remote-first company, but get together regularly in San Francisco and are looking for teammates who work within 3 time zones of Pacific Time.
About youYou have experience building and deploying machine learning models, including computer vision models, but your interests extend to many areas in machine learning and data science -- bonus points if you have experience with GIS. You are comfortable doing the dirty work to make datasets clean and usable. You can apply statistical methods to discover the salient features in novel data. When building, you're thoughtful about selecting the best tool for each job. You value reducing complexity and leaving the code base a little better than you found it.
We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
Lumen Energy is automating clean energy deployment.
To start, we’re making getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: out of 6 million commercial buildings in the US which are responsible for 16% of all greenhouse gas emissions, most of which could save money with solar, fewer than 4% have solar systems today.
We make clean energy widely accessible by abstracting away the complexity of an underlying marketplace of installers, financiers and confusing electrical jargon. Our challenge is to parse massive datasets, deploy advanced models behind the scenes, pre-package financing, all so that we can deliver simple, delightful, and actionable offers to our customers.
Once the decision has been made to go solar, we support our customers with software tools that help manage the processes of securing financing, evaluating bids and selecting a contractor and finally, managing a live solar deployment.
Who We Are
We are a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy. We build on experience at Stripe, Google X, Shopify, and US national labs. While we're early in our journey, we are live with customers, funded by exceptional investors (soon to be announced), and looking to bring on a core team member who can help us expand our impact.
We are a remote-first company, but get together regularly in San Francisco and are looking for teammates who work within 3 time zones of Pacific Time.
About youYou have experience building and deploying machine learning models, including computer vision models, but your interests extend to many areas in machine learning and data science -- bonus points if you have experience with GIS. You are comfortable doing the dirty work to make datasets clean and usable. You can apply statistical methods to discover the salient features in novel data. When building, you're thoughtful about selecting the best tool for each job. You value reducing complexity and leaving the code base a little better than you found it.
Responsibilites
- Build models, incorporating computer vision, to assess the fit of building roofs and parking lots for solar
- Make modeling decisions by working back from business and product needs
- Collaborate with external expert advisors at universities and US national labs
- Support other data-science intensive efforts at Lumen Energy over time
- Analyze and predict customer building energy data
- Model credit risk and revenue optimization across portfolios of solar assets
- Build dynamic pricing models for wholesale energy markets
We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
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