Machine Learning Engineer

San Francisco, CA /
Growing Energy Labs, Inc (Geli) – Technology - Data Science /
Full-time (Hybrid)
/ Hybrid
This is a San Francisco based position that is currently remote and will have a hybrid schedule once we return to office. We are open to candidates willing to relocate to the San Francisco Bay Area.

Geli (Growing Energy Labs, Inc.) provides software and business solutions to design, connect, and operate energy storage systems ranging in size from residential to utility-scale, as well as grid-tied, microgrid, and off-grid systems. Geli’s suite of products creates an ecosystem where project developers, OEMs, financiers, and project operators can deploy advanced energy projects using a seamless hardware-agnostic software platform.

Geli is a subsidiary of Hanwha Q CELLS, one of the world’s largest photovoltaic manufacturers most recognized for its high-performance, high-quality solar cells and modules.

Geli is committed to helping make the planet a cleaner, better place to live, both with our software products and through our everyday actions.

Imagine a world where there is less reliance on non-renewable power, where you source your electricity from your neighbors rather than from power stations hundreds of miles away and software makes the best possible use of the solar, wind, and battery storage available. This is our vision.

We are looking for enthusiastic colleagues that are not only fluent in technology, but also share our vision of a world running on 100% renewable energy.

Geli (Growing Energy Labs, Inc) is looking for an enthusiastic Machine Learning Engineer who is eager to work at the forefront of the rapidly expanding energy storage industry. As an ML Engineer, you will be supporting the deployment and maintenance of our forecasting algorithms, which are central to Geli’s software. This position sits within Geli’s Data Science team.


    • Build and maintain robust ML pipelines.
    • Collaborate with data scientists, software engineers and DevOps to deploy forecasting algorithms into production.
    • Implement monitoring systems to track how models are performing.
    • Work to continuously improve model performance and debug where necessary.
    • Manage the memory and computational footprint of our algorithms.


    • A solid foundation in computer science and software engineering principles, including object-oriented programming.
    • Experience writing clean, maintainable, efficient and thoroughly tested python (3.6+) code.
    • Familiarity with machine learning algorithms, concepts and workflows.
    • Experience working with ML libraries and packages such as sklearn, Keras and Tensorflow.
    • Ability to work collaboratively with all levels and teams at Geli.
    • Self-sufficient and proactive approach.
    • Willingness to learn and adapt in the rapidly growing energy industry.


    • Knowledge of energy storage applications and renewable energy.
    • Experience with available pipeline and monitoring tools for machine learning.
    • Experience in the following technologies:
    • Docker, Kubernetes, AWS
    • Kafka streams
    • Prometheus, Grafana
    • PostgreSQL, Django ORM, Cassandra, Timescale DB, Redis, S3
Competitive salary commensurate with experience
Competitive benefits offerings
Convenient accessible location in downtown San Francisco
Flexible work-from-home-office opportunities, as determined by position and job duties

Make a difference: join a group of people who are passionate about renewable energy
Have an impact: the company is still small enough that everyone’s contribution has a significant impact to the success of the company
Many opportunities to lead teams, projects, and contribute to development
Casual professional working environment: there’s no need to dress up, just present your best self
Work collaboratively in a diverse environment- we commit to reaching better decisions by respecting opinions and working through disagreements

We value the insights that a diverse team can bring. We encourage applications from members of groups that have been traditionally underrepresented in tech. 

Growing Energy Labs, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.