Equilibrium Energy · 2 months ago
Software Engineer - ML Platform (Staff / Sr Staff)
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expEquilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. They are seeking Staff / Sr Staff Software Engineers to help deliver a scientific platform that operationalizes AI/ML solutions at enterprise scale for various energy applications.
CommercialEnergyPower Grid
Responsibilities
Abstract away the complexities behind the deployment and orchestration of a large number of forecasting workflows, enabling a fast model development lifecycle for our Science team
Integrate with data and compute infrastructure to optimize resource utilization and performance
Implement automated testing and monitoring for ML models in production
Maintain and iterate on our model registry and experiment tracking
Co-design frameworks that support model experimentation, hyperparameter tuning, training, and deployment
Partner with our Data Services team to incrementally improve our feature store and tie it to the EQ ontology
Collaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalable
Collaborate with the Science Platform Simulation team to incorporate forecasting into physical and portfolio asset optimizations
Partner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practices
Stay up-to-date with the latest advancements in ML engineering and integrate best practices into the platform
Qualification
Required
A commitment to clean energy and combating climate change
Proficiency and 5+ years experience in Python software development
Familiarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, Argo, and Kubernetes
Strong understanding of data pipelines, ETL, and data infrastructure
Experience with observability tooling like Grafana, Honeycomb, and Prometheus
Experience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)
Prior experience in operationalizing machine learning workflows
Agility in working with cross-functional teams and adapting to new work methodologies
Familiarity with agile practices, or a willingness to learn
Strong communication skills for collaborating within a remote-first team that works internationally across timezones
Preferred
An advanced degree in computer science or machine learning
Experience in time series forecasting
Experience building tools that support data scientists
Experience with Databricks and Spark or Dagster
Background in the energy and power systems sector
Benefits
Competitive base salary and a comprehensive medical, dental, vision, and 401k package
Opportunity to own a significant piece of the company via a meaningful equity grant
Unlimited vacation and flexible work schedule
Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech
Company
Equilibrium Energy
Equilibrium Energy is a Climate Generation power company focused on the creation and proliferation of clean energy.
51-200 employees
H1B Sponsorship
Equilibrium Energy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (2)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$100MKey Investors
GS Energy
2025-03-12Series B· $28M
2023-12-26Series B· $39M
2023-08-01Series A· $33M
Leadership Team
Ryan Hanley
Founder & Chief Executive Officer
Recent News
Energy-Storage.News
2025-09-12
The New Stack
2025-08-13
Company data provided by crunchbase