Degree in Computer Engineering
Algorithms, AWS, Data Architecture, Data Visualization, Effective communication skills, Machine learning techniques, PyTorch, SQL, TensorFlow
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. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As Staff ML Engineer, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, event prediction and context understanding 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 spearhead the entire development process, from working with the product team to define scope, the the firmware team to assess what can be implemented, the cloud team on ML ops, and the data collection team for training data. That said, we are a startup - broad range of production software development skills, flexibility to wear many hats, and enthusiasm to learn will go a long way.
Responsibilities
Lead the development of ML algorithms from the ground up which includes:
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.
About You
Required Qualifications
Bonus Qualifications
The U.S. base salary range for this position is $190,000 - $225,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level.
Span is a startup based in the SOMA neighborhood of San Francisco. We are a small, diverse team of creative thinkers. We value open communication, teamwork, and a make-it-happen attitude - no job is too big or too small. We strive to make change by imagining what the future could be and building a product to complete that vision. We are looking to grow our team with talented people who are on the same mission to shape the future of energy.