In-office locations: Santa Monica, CA, USA and Philadelphia, PA, USA.

Remote location(s): United States.

As a certified B Corp, our mission is truly woven into the fabric of what we do. As you grow professionally, you are doing good for the planet by helping us to transform the way consumers access clean energy and accelerate the world’s transition to a net-zero carbon future. 

Our rapidly growing Data Platform and Services Team of mission-driven, climate enthusiasts is passionate, innovative and committed to a better future for the planet. We are looking for a Junior Machine Learning Engineer to develop, deploy, and build systems to scale and monitor our machine learning models. Some examples include electricity and gas forecasting, and customer lifecycle modeling. These models are critical in driving operational decisions: supporting our energy trading, customer pricing, acquisition strategy, financial forecasting, and more. 

How you’ll help: 

• Develop robust, configurable, and scalable systems for our machine learning and predictive models
• Develop data quality and model performance monitoring systems and testing frameworks that help us understand risks and improve our model performance and system reliability over time
• Define and develop clear and testable interfaces with consumers of our modeling services
• Analyze and validate changes in data; communicate impact of data and engineering developments to stakeholders (e.g. engineering, energy trading, commercial strategy, consumer pricing, analytics)

Some 1 year deliverables:

• Deliver data pipeline quality and model performance monitoring systems for our electricity and survival forecast
• Improve the self-service configurability, scalability (via Spark), and robustness (via testing and monitoring tools) of our forecast services
• Productionize model prototypes to deliver value to our stakeholders

Here’s what you’ll bring to the table:

• Must Have
  • 1-4 years of experience applying machine learning and statistical knowledge to drive business value, specifically with Python and SQL
  • Experience productionizing machine learning applications with data engineering frameworks like Apache Airflow, dbt, AWS services, Docker, Snowflake
  • Fluency with data visualization to communicate complex topics in approachable ways
• Nice to Have 
  • Experience with data engineering frameworks: MLFlow, Apache Spark, Hive, Kubernetes
  • Experience with machine learning frameworks: scikit-learn, Light GBM, XGBoost, lifelines, pytorch, Tensorflow/Keras
  • Experience building data and machine learning model quality monitoring systems
  • Software development lifecycle experience in GitHub (ie environment management, testing, deployment)
  • Experience at a similar scale of data processing (Multi-TB/billions of rows)
  • Work with real-time event stream data
  • Contextual work in the energy industry

Our Work Model:

This position is eligible for remote work. Being bi-coastal, we have mastered the art of working collaboratively across different time zones and regions. Working from the comforts of our own homes, we don't mind the constant cameos from children and pets. 

Dedication to DE&I:

The desire to be a diverse, equitable, and inclusive workplace in which everyone can thrive has been a guiding force in Inspire’s journey. Our diversity mission statement is as follows: “The best Inspire is a diverse Inspire. We’re passionately building a culture of belonging and empowerment to create a better world for all.” That’s why we’re committed to leveling the playing field and highly encourage all women, BIPOC, and those in the LGBTQIA+ communities to apply for our open positions even if you don't match 100% of the listed criteria. We would love to learn more about you!

Here’s what we offer:

Health & Wellness:

• Medical/Dental/Vision coverage starts from day one
• Summer Fridays and Wellness days
• Mental Health Benefits (Headspace, Ginger)
• Company Paid Parental Leave

Life at Inspire:

• Flexible Time Off
• 401(K) up to 4% Matching 
• Employee Resource Groups
• Treks through GivePower and the opportunity to participate in service trip
• Training, development, and growth opportunities for all employees

Perks:

• Work from Home
• Semi Annual Performance Bonuses
• B Corporation Discounts
• Open Office Floor Plan 
• Dog-friendly workplace
• Fun Company Events

More About Who We Are:

Inspire is a clean energy technology company on a mission to transform the way consumers access clean energy and to accelerate the world’s transition to a net-zero carbon future.

We provide our customers with access to renewable energy from wind, solar, and hydro powered sources without service interruptions or costly installations at a flat, predictable monthly rate. On average, one year of being an Inspire member can help avoid 9,639 pounds of carbon emissions - that is 7x more impactful than one year of recycling! 

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