ML/AI Engineer Intern

Job Title: ML/AI Engineer Intern
Location: Atlanta, GA
Reports to: Data Engineer
Job type: Internship (12 weeks, Part-Time, Exempt)

Who We Are

Impiricus is the next-gen ecosystem bridging the gap between HCPs and healthcare through multi-directional communication powered by AI. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to cut through the noise and put physician care delivery at the forefront. With our unique access to HCPs, their insights, and clinical expertise, we are committed to providing life science companies with innovations needed to deliver clear, reliable, and evidence-based resources into the hands of HCPs. Guided by a council of trusted physician advisors, we ensure every message leads to better patient care.

Job Summary:

Impiricus is seeking a ML/AI Engineer Intern for a 12-week paid internship to support the development of advanced AI capabilities across our product offerings. This role is ideal for a student who is passionate about machine learning, natural language processing, and AI agent/tool design, and who is eager to gain hands-on experience building real-world, scalable AI systems in a fast-paced startup environment.

This internship offers a unique opportunity to gain hands-on experience developing AI-powered tools and intelligent agents in a real-world startup environment. You’ll deepen your understanding of machine learning algorithms, from linear regression to neural networks, and learn how to evaluate and deploy models effectively. You’ll also gain practical experience working with web scraping tools, building data pipelines, and contributing to production-ready ML workflows. In addition, you’ll collaborate closely with cross-functional teams, gaining insight into how product, data, and engineering teams come together to solve complex problems in the healthcare technology space.

Key Responsibilities

• Support the development and deployment of AI agents and tools for Helix, our internal AI platform.
• Contribute to web scraping pipelines and data ingestion workflows to fuel ML models.
• Assist in training and evaluating machine learning models using both traditional and deep learning methods.
• Help implement and test ML algorithms, including linear regression, decision trees, and neural networks.
• Work with the Data and Product teams to translate business goals into intelligent system features.
• Participate in code reviews, standups, and team brainstorming sessions.
  
  

Qualifications

Required:

• Pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field, and returning to school in the fall.
• Solid foundation in machine learning concepts and algorithms.
• Familiarity with Python, including ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong problem-solving and analytical skills.
• Interest in the application of AI to healthcare technology.
• Experience with prompt engineering, LLM APIs, Hugging Face, and RAGs.
  
  

Preferred:

• Experience with web scraping frameworks (e.g., BeautifulSoup, Scrapy).
• Prior project or internship experience working on AI/ML models or NLP systems.
• Familiarity with cloud computing platforms (e.g. AWS, Azure).
• Knowledge of data privacy and security best practices, especially in healthcare settings (e.g. HIPAA)
• Demonstrated ability to work on interdisciplinary teams and present technical ideas.
  
  

Additional Details

• 12-week paid internship with flexible start date.
• Up to 30 hours per week.
• $18/hour
• Mentorship and hands-on experience 

Impiricus provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind, regardless of race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of their role.