Applied AI & Machine Learning Engineering Intern (Pluto in Aquarius, Pack Intern, Spring '27)

**This internship is hosted by Pluto in Aquarius LLC and sponsored by the Nevada Career Studio (NCS).

Students are highly encouraged to complete a 15 minute drop-in or schedule an in-person or virtual 30-minute appointment with a Career Mentor BEFORE submitting an application. Resumes and cover letters that do not meet NCS best practices will not be included in applicant packages to employers. 

After the application period closes in Handshake, the NCS Internships Team reviews the applicants and sends eligible students' applicant packages to employers for them to reach out to conduct interviews and make the final intern selection. Employers will contact students directly if they are interested in moving forward with them as a candidate.

Pluto in Aquarius LLC

About Pluto in Aquarius LLC

Pluto in Aquarius LLC is a Reno-based venture studio that develops and launches innovative businesses across technology, consumer products, and services. We build data network businesses for Main Street, not Wall Street. Every new user, transaction, and data point makes our ventures more accurate, more defensible, and harder to replicate. The software is the interface. The data is the asset. We build that asset in service of our users, not at their expense. We build systems that show their work. We look for opportunities where new business models, not just better products, reshape how value is created and captured. The most durable ventures today are new intelligence infrastructure that incumbents cannot replicate without dismantling what they have already built.

Internship Description:

Join a Reno-based venture studio developing AI-powered products for property intelligence and personal health. Work directly with the founder and an experienced technology advisor on real-world machine learning, document analysis, and intelligent software systems.

Your tasks will be defined by the software build matrix. Deadlines are assigned and you will decide when and how to get the work done at optimal quality. For support, you will have teammates and a senior technical advisor. Completed tasks are reviewed by the senior technical advisor.

Duties/Responsibilities:

• Complete 150 hours of work as an intern (8-15 hours per week, 15 weeks total)
• Develop and test AI/ML models and pipelines.
• Build document extraction and analysis capabilities.
• Integrate LLMs, APIs, and databases.
• Evaluate accuracy, reliability, and performance.
• Document code, findings, and recommendations.
• Participate in technical reviews and product development.

Goals and Expectations of the Intern:

Deliver a functional, tested prototype; demonstrate measurable improvements in a defined technical task; maintain documented, reproducible code; and communicate progress consistently.

Working closely with teammates and a senior technical advisor will provide the intern with continuous opportunities for strategic thinking, communications, teamwork and leadership in a cutting-edge professional software development environment.

Required Qualifications:

• Must be a degree-seeking undergraduate or graduate student at the University of Nevada, Reno during the Spring '27 semester 
• Student must be enrolled in a program of study (major, minor, or graduate program) in the following colleges:
  • Agriculture, Biotechnology, and Natural Resources (CABNR)
  • Business
  • Engineering
  • Science
  • Public Health/Orvis
• Proficiency in Python
• Familiarity with machine learning concepts
• Experience developing software
• Git proficiency
• Strong analytical and problem-solving skills

Preferred Qualifications:

• High-level AI/ML research
• LLMs
• NLP
• PyTorch
• Flask/FastAPI
• PostgreSQL
• Cloud platforms
• Biomedical data analysis

Desired Schedule for Intern:

The intern will work 8-15 hours per week remotely with required attendance for in-person meetings at the office. Internship hours are flexible around academic schedules.

Pack STEM internships require interns to complete 150 hours during their internship. It is the intern’s responsibility to ensure this requirement is met.