SPAN is developing products to enable rapid adoption of renewable energy and deliver an intuitive interface for the home. We ...View Company Profile
The electrical grid was built to carry electricity unidirectionally from central fossil fuel plants to end consumers. As we transition to a renewable future built from rooftop solar and community storage, the grid itself needs an overhaul. Span’s goal is to reinvent the grid from a clean slate to enable that transition, envisioning a grid made of distributed control systems and software as much as copper wires.
To accomplish this, we are upgrading the breaker panel — the humble box sitting at the center of every building’s electrical wiring — to monitor, control, and make decisions about energy. This converts buildings from passive consumers in a centralized fossil fuel grid to active participants in the emerging distributed energy market.
SPAN’s unique commitment to clean-slate “right architecture” and our zealotry for top-caliber customer experience position us as domain leaders in envisioning the distributed grid and have allowed us to achieve rapid growth and high visibility in the industry in the two years since we launched.
We aim to establish the SPAN panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. SPANn’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As Data Scientist, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, time series forecasting, and event prediction with the goal to optimally manage whole-home energy consumption, deliver meaningful insights to the customer, and notify them about a potential failure of equipment or hazards in their home. You’ll be involved through the entire development process, from the acquisition of all additional third-party data, the initial design to remote monitoring in the field.
Lead the development of ML algorithms from the ground up which includes:
Gain knowledge in the relevant domain (e.g. energy consumption pattern of homes)
Prototype new algorithms
Benchmark performance across large-scale datasets
Use your experience with different machine learning frameworks to identify suitable tools for integration in SPAN’s software platform
Integrate developed algorithms in our production code base with robust test coverage
Work with the firmware and software teams to design Span’s edge model deployment framework; pick which ML framework SPAN should adopt
Proactively identify opportunities within Span that can benefit from data science analysis
Use fleet data to monitor algorithms in the field
Note: We’re a startup, so while this list is broad, it’s still just a start; you’ll end up wearing many hats during your time at Span.
Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, or a closely related field
2+ years of professional experience with developing and implementing machine learning models to production
Deep understanding of machine learning algorithms for time series data forecasting
Advanced Python skills, as well as familiarity with pandas and scikit-learn
Software design experience and ability to write clean, maintainable, and shippable production code
Experience working with SQL and data visualization tools
Extensive data modeling and data architecture skills
Knowledge and experience working within cloud computing environments such as AWS
Strong communication and interpersonal skills
Ability to understand and explain complex problems simply and effectively
Experience optimizing models for resource-constrained edge devices
Experience in data engineering
Domain-specific knowledge either through previous work, courses in college, or side projects
SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges.
We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.
⚡ Competitive compensation + equity grants at a well-funded, venture-backed company
⚡ Comprehensive benefits (including medical; dental, vision, life and disability insurance)
⚡ Comfortable, sunny office space located near BART and Caltrain public transit
⚡ Strong focus on teambuilding and company culture (events, meet-ups, clubs)
⚡ Flexible hours and unlimited PTO
Interested in joining our team? Submit an application today and we’ll be in touch with next steps!