Machine Learning Intern

Mastercontrol • Salt Lake City, UT

52d • $30 - $50 • Hybrid

About The Position

MasterControl Inc. is a leading provider of cloud-based quality and compliance software for life sciences and other regulated industries. Our mission is the same as that of our customers to bring life-changing products to more people sooner. The MasterControl Platform helps organizations digitize, automate and connect quality and compliance processes across the regulated product development life cycle. Over 1,000 companies worldwide rely on MasterControl solutions to achieve new levels of operational excellence across product development, clinical trials, regulatory affairs, quality management, supply chain, manufacturing and postmarket surveillance. For more information, visit www.mastercontrol.com. Summary We are looking for a talented Machine Learning Intern to join AI/Ml team and contribute to various projects focused on applying machine learning to solve real-world problems. This internship offers hands-on experience in developing, testing, and deploying machine learning models, as well as exposure to best practices in the industry.

Requirements

• Educational Background: Currently pursuing a degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
• Technical Skills: Proficiency in Python, with familiarity in machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with data manipulation tools (e.g., Pandas, NumPy). Understanding of basic machine learning concepts, including supervised and unsupervised learning, regression, classification, and clustering.
• This position is specifically designed for Northeastern University students as part of the university's cooperative education (Co-op) program. Candidates must be enrolled at Northeastern University and eligible to participate in the official Co-op program for the designated term.

Responsibilities

• Assist in gathering, cleaning, and preparing data for model training and evaluation.
• Work with ML and MLOps engineers and data scientists to develop and fine-tune machine learning and large language models.
• Conduct experiments to test different models and approaches, documenting results and identifying the most effective methods.
• Use metrics and evaluation techniques to assess model performance, and suggest improvements to enhance accuracy and efficiency.
• Create detailed documentation of workflows, models, and findings to ensure reproducibility and knowledge sharing within the team.
• Work closely with other team members in engineering, and product development to understand project requirements and deliver solutions that meet business objectives.
• Write web services to enable use of the models in production software.

Benefits

• Competitive compensation
• Schedule flexibility
• Fitness clubs (you get paid to have fun and be active!)
• Company parties and employee recognition programs
• Wellness programs (free Fitbit, gym membership and athletic shoe reimbursements, etc.)
• Onsite physician and massage therapist
• Innovation center and gaming rooms at the office

What This Job Offers

• Career Level: Intern