Machine Learning Engineer

Key Skills

Amazon Athena, AWS Sagemaker, Data science techniques, Docker, DynamoDB, Grafana, Kubeflow, Lambda, Machine learning techniques, MLflow, NumPy, Python Programming, PyTorch, SciPy, SQL, XGBoost

Job Description

ABOUT GELI

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.

OUR VISION

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.

ABOUT THE JOB

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.

RESPONSIBILITIES

• 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.

REQUIRED EXPERIENCE & SKILLS

• Minimum 2 years experience as ML Engineer, Software Engineer, Data Scientist or Data Engineer
• AWS Experience: Proficient in at least one of Athena, DynamoDB, Lambda, Step Functions, SageMaker, SageMaker Studio, SageMaker Endpoints
• ML Tools: Proficient in at least one of MLflow, Weights & Biases, Docker (image creation and containerization), Kubeflow, DVC, Datadog, Grafana
• Data Science Skills: Strong understanding of supervised & unsupervised learning and performance metrics
• Programming skills: Proficient in both Python (object-oriented programming) and SQL
• Python libraries: Pandas, Sklearn

DESIRED EXPERIENCE & SKILLS

• Data Science Skills: Time-series forecasting.
• Nice to have Python libraries: TensorFlow, PyTorch, XGBoost, LightGBM, NumPy, SciPy, Statsmodels

BENEFITS OF WORKING AT GELI

• Competitive salary commensurate with experience
• Competitive benefits offerings
• Conveniently accessible location in downtown San Francisco
• Flexible work-from-home-office opportunities, as determined by the position and job duties
• Cigna and Kaiser options - available by region
• Cigna Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Cigna medical plan
• Company-paid Basic Life, AD&D, short-term, and long-term disability insurance
• Voluntary benefits include: critical illness, hospital indemnity, accident insurance
• 401(k) with a 4% employer match
• 3 weeks of paid Parental Leave
• Sick time- 72 hours frontloaded per calendar year
• Vacation time (Flex time), and 13 Paid Holidays
• Health Advocate wellness and concierge services
• Wellness programs with our benefits providers
• Commuter benefits
• EAP
• Bereavement leave- 5 paid days