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 such as device temperature, energy consumption, user interactions, grid carbon emissions, weather, and energy markets 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 (CDK, ECS/EKS, RDS, Redshift, S3, etc.), 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.
Requirements
Significant experience developing and evaluating algorithms and models in production environments (typically 6+ years).
Bachelor's or Master’s degree in Computer Science—or equivalent professional experience.
Proficiency in Python for algorithm-focused software development.
Strong SQL skills and experience with databases such as PostgreSQL, MySQL, Oracle, or Redshift.
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.
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.
Data pipeline development using Prefect, Airflow, or similar ETL/ELT tools.
Familiarity with AI/ML frameworks like Scikit-learn, TensorFlow, PyTorch, Prophet, Numpy, and Jupyter.
Benefits
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 (with a top-down culture of taking meaningful PTO every year!), 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 to the same.
Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLmachine learningstatistical modelsalgorithmsdata processingstatisticsdata pipeline developmentsoftware development lifecycleproblem-solving
Soft skills
technical leadershipcollaborationattention to detailnavigating ambiguitydefining problem statementsshaping solutionsownershipfostering engineering culturereducing complexityimproving development processes
Certifications
Bachelor's degree in Computer ScienceMaster’s degree in Computer Science