Equilibrium Energy
San Francisco, California
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: 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 Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: 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 Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
Equilibrium Energy
San Francisco, California
Software Engineer - ML Platform (Staff / Sr Staff) San Francisco or US Remote About our Company Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy. Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan. What we are looking for Our power sector is in the middle of a major transformation. Its increasingly renewable resource mix and demand-side changes require algorithmic management far beyond what was historically required. Because of this, scalable model development and deployment is at the heart of what EQ does. We are looking for Staff / Sr Staff Software Engineers who are passionate about helping to deliver this scientific platform - to stay at the forefront of AI/ML technology and operationalize those solutions at enterprise scale. What you will do You will be a member of EQ's Science Platform team. Our Science Platform enables our internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications. Key Responsibilities: Abstract away the complexities behind 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 The minimum qualifications you'll need 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 Nice-to-have additional skills 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 DagsterBackground in the energy and power systems sector What we offer Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. Employee benefits include: 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 Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
Software Engineer - ML Platform (Staff / Sr Staff) San Francisco or US Remote About our Company Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy. Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We're looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan. What we are looking for Our power sector is in the middle of a major transformation. Its increasingly renewable resource mix and demand-side changes require algorithmic management far beyond what was historically required. Because of this, scalable model development and deployment is at the heart of what EQ does. We are looking for Staff / Sr Staff Software Engineers who are passionate about helping to deliver this scientific platform - to stay at the forefront of AI/ML technology and operationalize those solutions at enterprise scale. What you will do You will be a member of EQ's Science Platform team. Our Science Platform enables our internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications. Key Responsibilities: Abstract away the complexities behind 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 The minimum qualifications you'll need 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 Nice-to-have additional skills 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 DagsterBackground in the energy and power systems sector What we offer Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we've previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. Employee benefits include: 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 Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.