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  3. Software Engineer - ML Platform Staff Sr Staff
Equilibrium Energy logo

Software Engineer - ML Platform Staff Sr Staff

Equilibrium Energy
San Francisco, California
Full Time
Posted November 8, 2025
Energy Management
Remote
~102 people viewed this recently
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Application opens on company website

Job Description

The role involves developing and operationalizing scalable machine learning models and frameworks within a scientific platform to support energy forecasting and optimization, enabling the transition to a cleaner and more resilient energy future.

Key Responsibilities

  • Abstract deployment and orchestration of forecasting workflows to enable rapid model development
  • Integrate with data and compute infrastructure to optimize resource utilization and performance
  • Implement automated testing and monitoring for machine learning models in production
  • Maintain and improve the model registry and experiment tracking systems
  • Design frameworks supporting model experimentation, hyperparameter tuning, training, and deployment
  • Collaborate with data services team to enhance feature store integration
  • Work with data scientists to develop scalable, validated, and robust models
  • Partner with simulation teams to incorporate forecasting into physical and portfolio asset optimizations
  • Enable external customers to perform similar modeling tasks with minimal code divergence and security adherence
  • Stay current with ML advancements and incorporate 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 such as xgboost, sklearn, pytorch, pandas, polars, and 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 & Perks

Competitive base salary
Comprehensive medical, dental, and vision insurance
401k retirement plan
Opportunity to own a significant piece of the company via equity grant
Unlimited vacation
Flexible work schedule
Remote-first work environment
Accelerated professional growth and development opportunities
Mentorship from leading industry experts

Ready to Apply?

Join Equilibrium Energy and make an impact in renewable energy

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