Optimize load profiles across multiple classes of devices including thermostats, home batteries, and EVs.
Develop and productionize algorithms and models using machine learning and statistical techniques.
Analyze diverse datasets to inform product direction and algorithm design.
Show significant ownership of the algorithms team’s software architecture.
Collaborate with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features.
Drive software projects independently over multi-week timeframes.
Provide technical leadership in small engineering groups.
Help clarify ambiguous problems and shape solutions that balance technical feasibility and business needs.
Design, implement, and maintain systems and features, including integration points with other teams and external platforms.
Work across our stack: Python, PostgreSQL, Prefect, AWS/GCP, Apache, Git, and Jira.
Uphold high standards in code quality, testing, security, observability, and operational excellence.
Foster a collaborative and efficient engineering culture, reducing complexity and improving development processes.

Bachelor's or Master’s degree in Computer Science—or non-CS STEM degree. 6-12 years professional software development experience.
Significant experience developing and evaluating algorithms and models in production environments (typically 4+ years).
Proficiency in Python for algorithm-focused software development.
Strong SQL skills and experience with databases such as PostgreSQL, MySQL, Oracle, or Redshift.
One or more of the following:
Energy industry knowledge or experience with energy markets.
Understanding of building energy systems physics.
Experience with smart energy devices such as thermostats, EVs, solar, batteries, and water heaters.
Experience leading the design of complex, scalable software systems.
Strong problem-solving skills and attention to detail.
Ability to navigate ambiguity and collaboratively define clear problem statements and solutions at a system level.
Familiarity with the full software development lifecycle, including design, implementation, testing, deployment, monitoring, and iteration.
Solid foundation in statistics, including inference, simulation, and optimization.
Hands-on experience developing machine learning or statistical models.
Bonus Experience:
Scalable distributed data processing.
Serverless and cloud-native tools such as AWS Lambda, GCP Pub/Sub.
Data pipeline development using Prefect, Airflow, or similar tools.

A full-time position, with a competitive salary based on experience.
Fully remote work environment with home office set-up allowance.
Real and lived work-life balance
Company perks include no pre-set vacation limits, parental leave benefits, and a corporate value of working sustainably and putting families first.
Competitive benefits package that includes numerous health and wellness benefits.
401(k) plan, with employer contributions.

Staff Engineer, Energy Intelligence

Key skills