Equilibrium Energy

Software Engineer – ML Platform, Staff/Sr Staff

Equilibrium Energy

full-time

Posted on:

Location Type: Remote

Location: California • United States

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Job Level

Senior

Tech Stack

DockerETLGrafanaKubernetesPandasPrometheusPythonPyTorchScikit-Learn

About the role

  • 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

Requirements

  • 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
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythonautomated testingML modelsmodel registryhyperparameter tuningdata pipelinesETLmachine learning algorithmsxgboostpytorch
Soft Skills
collaborationcommunicationadaptabilitycross-functional teamworkproblem-solvingcommitment to clean energyagilityvalidationscalabilitycustomer focus