Machine Learning Engineer San Francisco, Boston, London, Or Remote

San Francisco, Boston, London, or Remote
About our CompanyEquilibrium 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 forOur 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 experienced ML 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 doYou 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: Develop and maintain scalable ML pipelines, used to support forecasting and optimization modelsDesign frameworks that support model experimentation, hyperparameter tuning, training, and deploymentCollaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalableIntegrate with data and compute infrastructure to optimize resource utilization and performanceImplement automated testing and monitoring for ML models in productionPartner 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 practicesStay up-to-date with the latest advancements in ML engineering and integrate best practices into the platformThe minimum qualifications you'll needA commitment to clean energy and combating climate changeFamiliarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, and KubernetesStrong understanding of data pipelines, ETL, and data infrastructureExperience with observability tooling like Grafana, Honeycomb, and PrometheusExperience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)Prior experience in operationalizing machine learning workflowsAgility in working with cross-functional teams and adapting to new work methodologiesFamiliarity with agile practices, or a willingness to learnStrong communication skills for collaborating within a remote-first team that works internationally across timezonesNice-to-have additional skillsAn advanced degree in computer science or machine learningExperience in time series forecastingExperience building tools that support data scientistsExperience with Databricks, Spark, and dbtBackground in the energy and power systems sectorWhat we offerEquilibrium 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 packageOpportunity to own a significant piece of the company via a meaningful equity grantUnlimited vacation and flexible work scheduleAbility to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or LondonAccelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and techEquilibrium 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. Apply for this job* indicates a required field
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