Software Engineer - ML Platform Staff Sr Staff
Equilibrium EnergySan Francisco, California
Full Time
Posted November 8, 2025
Energy Storage
Remote
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Application opens on company website
Job Description
The role involves developing and operationalizing scalable machine learning and forecasting models within a scientific platform to support renewable energy optimization and grid management, collaborating with data scientists and engineering teams to enhance platform capabilities and performance.
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 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 and integrate it with the ontology
- Work with data scientists to develop scalable, validated, and robust model solutions
- Partner with simulation teams to incorporate forecasting into physical and portfolio asset optimization
- Enable external customers to perform similar modeling tasks with minimal code divergence and security compliance
- Stay current with advancements in ML engineering 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 equity in the company via a meaningful equity grant
Unlimited vacation
Flexible work schedule
Accelerated professional growth and development opportunities
Remote-first work environment
Collaborative culture with mentorship from industry experts
Ready to Apply?
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