Job Summary Table of Machine Learning Intern

Machine Learning Internship Overview

The University of Chicago’s Globus Labs is offering an exceptional opportunity for aspiring machine learning professionals to gain hands-on experience in a research-driven environment. As a Machine Learning Intern, you’ll be at the forefront of developing and deploying cutting-edge software services that help researchers publish and share their data while solving complex problems in diverse scientific domains including materials science, chemistry, catalysis, and x-ray science.

This remote position primarily appointed at the University of Chicago will involve collaboration with Argonne National Laboratory, giving you exposure to some of the most advanced scientific research facilities in the world. If you’re skilled in data preprocessing, machine learning techniques, and Python programming, this internship could be your gateway to contributing to breakthrough scientific discoveries.

🚀 Why Join Globus Labs as a Machine Learning Intern?

Globus is more than just a research unit—it’s a non-profit organization dedicated to delivering solutions to the research community worldwide. By joining Globus Labs as a Machine Learning Intern, you’ll be part of a forward-thinking team that develops and operates commercial-quality, cloud-based software applications and platform services used by tens of thousands of researchers worldwide.

The experience you’ll gain working with cutting-edge technologies in machine learning and data processing will be invaluable for your career growth. Whether you’re interested in pursuing a career in academic research or industry, this internship will provide you with the skills, knowledge, and network to succeed.

Machine Learning Intern Responsibilities

• Assist in the development and deployment of new software services to help researchers publish and share their data
• Process data through Python services and systems to support scientific research
• Learn and apply machine learning code to solve problems in various scientific domains
• Review existing software development programs and contribute to their improvement
• Participate in project meetings and discussions, taking notes and creating summaries
• Contribute to active projects with basic analysis and reviews
• Create comprehensive reports summarizing project progress for supervisors
• Apply basic computing coding skills to complement existing projects

Technical Skills Required for Machine Learning Interns

• Programming Languages: Proficiency in Python with exposure to HTML, CSS, and JavaScript
• Machine Learning: Familiarity with ML models and frameworks such as TensorFlow, Keras, or PyTorch
• Data Processing: Experience with data preprocessing and pipeline development
• Software Development: Experience in developing, implementing, debugging, and maintaining applications or data services
• Web Development: Familiarity with front-end or back-end design and the latest web standards
• Analytical Skills: Ability to assemble and organize data and prepare comprehensive reports
• Independent Work: Demonstrated capacity to work independently in an organized, detailed manner
• Computer Skills: Strong proficiency in software applications such as Microsoft Word and Excel

🏢 About Globus Labs and University of Chicago

Globus (www.globus.org) operates as a sustainable, non-profit unit within The University of Chicago, delivering critical services that support scientific research for governmental, academic, and commercial organizations across numerous disciplines including life sciences, physics, and astronomy.

The organization develops and operates cloud-based software application and platform services used by researchers to manage their large and growing data management challenges. With offices located at the NBC Tower in downtown Chicago and remote employees working from home, Globus offers a flexible and dynamic work environment.

Globus Labs, a research group within the University of Chicago and part of the Data Science and Learning Division at Argonne National Labs, focuses on developing and deploying cutting-edge technologies to solve new challenges facing the scientific community and enable breakthrough scientific discoveries.

Machine Learning Intern Working Conditions

• Remote work opportunity with flexibility
• 40 hours per week (full-time)
• Occasional in-person and/or Zoom meetings
• Independent work under supervisor direction
• Ability to follow direction and guidance

Benefits and Compensation Details

• Hourly Pay Range: $17 – $20 per hour
• Position Type: Temporary, Non-Exempt
• Benefits Eligibility: This position is not eligible for benefits
• Required Documents: Resume

Educational Requirements for Machine Learning Interns

• Minimum Education: High School Diploma or GED required
• Preferred Education: Currently enrolled in a degree-seeking College or University

Equal Opportunity Statement

The University of Chicago is an equal employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law.

Job seekers requiring reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.

Remote Work Policy

This Machine Learning Internship is a remote position, allowing interns to work from their preferred location. The intern will be required to attend occasional virtual meetings via Zoom and maintain regular communication with supervisors and team members. All necessary software and access to resources will be provided to ensure successful remote collaboration.

Application Process

1. Prepare your resume highlighting relevant skills and experience in programming, data analysis, and machine learning
2. Submit your application through the University of Chicago Careers portal
3. If selected, participate in the interview process to discuss your qualifications and interest in the position
4. Upon selection, complete the necessary onboarding procedures

How to Apply for the Machine Learning Internship

Interested candidates should submit their resume through the University of Chicago’s online application system. To apply, click the “Apply” button on the job posting page.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

FAQs About the Machine Learning Internship

Q: Is this internship open to international students?

A: Please contact the University of Chicago’s Human Resources department for specific eligibility requirements related to international applicants.

Q: Will I need my own computer and software?

A: Specific requirements will be discussed during the interview process, but generally, the University provides necessary access and resources for remote work.

Q: Is there a possibility of this internship leading to full-time employment?

A: While not guaranteed, successful interns may be considered for future opportunities based on performance and available positions.

Q: What kind of projects will I be working on?

A: Projects typically involve developing and deploying software services for data sharing, processing, and analysis in various scientific domains including materials science, chemistry, and x-ray science.

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