Renew Home is seeking a Staff Algorithms Engineer to join our growing Algorithms team. You'll develop models and algorithms to power energy insights, helping residential users understand the value of automations. While focused on insights, you'll also collaborate on optimization problems and help shape the next generation of energy algorithms.
What You'll Do
- Develop and productionize algorithms and models using machine learning and statistical techniques.
- Create methodologies for evaluating the impact of energy management features and deriving actionable, novel insights for residential users.
- 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.
- Participate in cross-functional initiatives with Product, Product Design/UX, Operations, and Engineering to define and deliver impactful features.
- Drive software projects independently over multi-week timeframes.
- Lead small engineering groups to achieve business and technical objectives.
- 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.
- 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.
What We're Looking For
- 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.
Nice to Have
- Scalable distributed data processing.
- Serverless and cloud-native tools such as AWS Lambda or GCP Pub/Sub.
- Energy industry knowledge or experience with energy markets.
- Experience building user-facing features, particularly those involving personalized insights.
- Understanding of building energy systems physics (e.g., thermal dynamics, energy conversion, efficiency, kW vs. kWh).
- 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.
Technical Stack
- Languages & Frameworks: Python
- Databases: PostgreSQL
- Data Pipeline: Prefect
- Infrastructure: AWS/GCP (CDK, ECS/EKS, RDS, Redshift, S3, etc.)
- Tools: Apache, Git, Jira
Team & Environment
You will be a member of the growing Algorithms team, reporting to the Manager of Algorithms.
Benefits & Compensation
- Salary range: $170k - $220k
- Fully remote work environment with home office set-up allowance.
- No pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!).
- Parental leave benefits.
- 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.
Work Mode
This is a fully remote position open to candidates located within the United States.
We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.
