What are the responsibilities and job description for the Intern, Software Engineering/Machine Learning position at Aspen Power Partners LLC?
More information about this job:
About Aspen Power
Aspen Power is a distributed energy generation platform with the dual mission of accelerating and democratizing decarbonization. We partner with businesses, communities, and others in the industry to develop, construct, and operate renewable energy assets. Our experienced team is passionate about solving our clients’ energy challenges to deliver a sustainable future throughout the U.S. For more information, please visit aspenpower.com.
Position Overview:
Reporting to the Software Engineering team, the Software Engineering Data Science and Machine Learning Intern will work closely with our dedicated team to support the management and optimization of our data pipelines, contributing to the company's mission of sustainable energy solutions. This internship offers a unique opportunity to gain hands-on experience in the exciting and rapidly growing field of solar energy. The ideal candidate will demonstrate an entrepreneurial passion for renewable energy development and a desire to work with clients to transform the way they procure energy.
This is a 10-week internship program (approximately June 9 – August 15, 2025), approximately 25–30 hours/week with the opportunity to transition to full-time employment upon successful completion.
Responsibilities:
Full-Stack Application Development: Collaborate with the team to design, develop, and maintain our core application that supports various solar operations.
Data Science & Machine Learning: Assist in updating our current data pipelines and helping the company gain more insight into the data using ML techniques.
Internal API Maintenance: Maintain and develop new endpoints connecting other services/data sources to our tools.
Collaboration and Communication: Work collaboratively with cross-functional teams, providing insights and updates on pipelines, and ensure smooth implementations of stakeholder needs.
Qualifications:
Must be passionate about the renewable energy business, hardworking and thrive in the fast pace of a rapidly growing company. In addition, the candidate must possess:
Applicants from relevant academic backgrounds (Computer Science, Data Science, Machine Learning, Software Engineering, or a related field) or with equivalent practical experience are encouraged to apply.
Proficiency in at least one programming language (e.g., Python, C#, or JavaScript).
Experience (or coursework) with full-stack web development frameworks (e.g., Svelte, React, Node.js, etc.).
Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, or PyTorch) and basic model deployment practices.
Excellent analytical, problem-solving, and teamwork skills.
Personal Characteristics:
Collaborative and engaging team member who partners well with others
Strong team orientation and demonstrated client management skills
Results-driven, with a strong work ethic and commitment to excellence
Executive presence, outgoing with strong communication and presentation skills
Builds trust by demonstrating high ethical standards and personal integrity
Ability to adapt and learn quickly
Analytical problem solver who views obstacles as challenges
Self-motivated, self-starter who can work independently when necessary
Location: NYC - remote/hybrid
At Aspen Power, our work model includes three ways of working: virtual, in-person, and hybrid (a hybrid of in-person and virtual). On site preferred.
Compensation Range: $25 per hour (undergraduate student or degree) - $45 per hour (graduate student or degree)
Learn more about our generous employee benefits and perks by visiting aspenpower.com
Equal Employment Opportunity
We are committed to equal-employment principles and are dedicated to diversity and the strength it brings to the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical condition related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, military status, sexual orientation or any other protected category or class that may be applicable.
NOTE: Due to the large volume of applicants, only candidates under serious consideration will be contacted.
Salary : $25 - $45
