Staff Engineer, Algorithms (Remote, US)

Renew Home

130d • $170,000 - $220,000

About The Position

Renew Home is seeking a talented and self-driven Staff Algorithms Engineer to join the growing Algorithms team. You’ll take significant ownership of end-to-end algorithm development—from discovery to deployment—contributing directly to the value we provide the grid and to company performance. This includes tackling challenges like co-optimizing thermostats, home batteries, and electric vehicles - taking into account user needs, physical system dynamics, and grid demand.

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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• A full-time position, with a competitive salary based on experience. The base salary for this role is: $170k - $220k.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 51-100 employees