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Machine Learning Engineer
Qcells
San Francisco, CA
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.

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

WORK ENVIRONMENT
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 on the success of the company
Many opportunities to lead teams, and 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

DIVERSITY
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.
Full-time
Mid Level
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Interconnection Data Scientist
Qcells
Remote, USA
Hanwha Q CELLS USA Corp (“HQC US”) develops, invests, and delivers solar photovoltaic (PV) and battery energy storage systems (BESS) projects through Engineering, Procurement, Construction (EPC) services in North America.

The company brings a decade of global leadership in solar PV to deliver utility-scale power generation plants customized for local and regional energy markets. HQC US offers the full spectrum of PV solutions – from the core technology of cells and modules to large-scale project development and investment. With proven capabilities across the solar and battery storage value chain, HQC US minimizes uncertainty and risk and helps customers achieve a higher return on their investment in renewable energy.

Qcells is looking for an experienced data scientist with experience in energy forecasting. This position will lead thedevelopment oflong-termenergy time series probabilistic forecasting tool to facilitate our long-term utility scaled renewable revenue forecast in different markets. As anInterconnection Data Scientist, you would haveopportunities to collaborate with subcontractors and other data scientist to refine the forecast methodology and integration with other internal tools. 
 
We are looking for a motivated self-starter that thrives in a dynamic environment. A strong work ethic with excellent problem-solving skills are equally important as being a team player who enjoys to learn and teach.     
 
This position reports to the Transmission Planning Manager or Vice President of Interconnection. This position may be expected to travel up to 20%. 

Essential Job Functions & Responsibilities

    • Lead the development of our time series probabilistic forecasting algorithms. 
    • Work to continuously improve model performance and debug where necessary. 
    • Benchmarking forecast performance across various load and renewable profiles, fuel prices, and policy scenarios.  
    • Collaborate with other teams within Qcells and external consultant to assess how forecasts can be adjusted for various economic objectives. 
    • Integrating the forecasting tool into our other forecasting models/tools and dispatch optimization tools to create a robust number for Project Finance department.  
    • Proactively identify opportunities within Qcells that can benefit from data science analysis and present those findings. 
    • Write SQL API code to get historical data from ISO/RTO for benchmarking purpose, including congestion, demand, LMP, import/export, generation, and outages. 
    • Gather other public or private (subscription) forecast data to provide insights.  
    • Provide subject-expertise to review external consultant work for other energy related forecast.  

Required Qualifications

    • A degree in Electrical engineering and/or Master’s preferred. 
    • 3+ years of industry experience developing, supporting, and deploying forecasting models for energy applications.  
    • Expertise in Data Science language such as Python, Matlab and R. 
    • Database skill in SQL. 
    • Experience with Python libraries for numerical methods and timeseries data. 
    • Strong background in linear algebra and statistics. 
    • Experience communicating / working with utilities, consulting firms, and ISO/RTOs 
    • Machine Learning related experience is desired.  
    • Experience in energy / utility or related markets is desirable but not necessary. 
    • Willingness to travel, up to 20% of the time. 
$100,000 - $120,000 a year
The anticipated starting pay range of this position, if it were to be located in Irvine, CA is as stated above.
The anticipated starting pay range of this position, if it is to be located in Irvine, CA is $100,000.00 - $120,000.00 base salary per year. 

The above-listed salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. The salary range shared in the job description is for the listed position and only pertains to the candidate if they work in Irvine, CA. Actual compensation is influenced by a wide array of factors including but not limited to internal pay equity, skill set, education, licenses and certifications, geographic location, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications. An additional discretionary bonus structure or incentives may be offered as part of the overall compensation package, in addition to the full range of medical, dental, and/or other benefits, dependent on the level and position offered. 

PHYSICAL DEMANDS
 
·  Stationary Position: frequently remains stationary up to 90% of the time and sitting up to 8 hours in a day
·  Move/Traverse: infrequently bend, stand, stoop and/or walk
·  Carry Weight: infrequently carry weight and/or lift objects (light to heavy) weighing up to 10 pounds
·  Hearing and Speech: frequently communicates with the ability to hear and talk on a regular basis with employees, coworkers, and all personnel matters; must be able to exchange accurate information in these situations
·  Sight: frequent use of sight to detect images on computer, office documents, and office objects near and far
·  Climb: occasionally ascends/descends on stairway to get to office upper and lower floors
·  Travel: review above travel requirement for this position

WORK ENVIRONMENT
 
·  Regular professional, office business setting
·  Noise level ranges from low to moderate (if in office setting)
·  Noise level ranges from moderate to high (if on construction worksite)

Hanwha Q Cells is proud to be an at-will Equal Opportunity Employer and prohibits discrimination against race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, pregnancy, citizenship, disability, protected veteran status and any other classification protected by applicable federal, state or local law.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.  
  
We are committed to the full inclusion of all qualified individuals.  As part of this commitment, Hanwha Q Cells will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment.  Please contact us to request accommodations at hr-usa@qcells.com.  
  
Nothing in this statement shall imply implicitly or explicitly a guarantee of employment outside our at-will employment opportunity. 

You may view your privacy rights by reviewing Qcells’ Privacy Policy here or contacting our HR Team for a copy.
Full-time
Mid Level