Our team produces innovative solutions for sensing and understanding the world, transforming reality into digitized reality. By applying novel Machine Learning (Deep Learning) techniques, we create intelligent automated systems that sense, think, and act in the real world. Our Bioinformatics team is changing the medical field by applying our innovative solutions to cutting-edge R&D for medical diagnoses and treatments.
Objectives of this Role:
Join project teams to research and develop new decision support tools for SwRI clients.
Implement modern and traditional machine learning algorithms to solve novel problems.
Summer 2025 internship position.
Daily and Monthly Responsibilities:
Apply state-of-the-art machine learning software solutions for artificial intelligence systems in the healthcare field.
Collaborate with a multidisciplinary team to discuss technical solutions to problems.
Develop tools and techniques to improve our team's research and development capability.
Requirements:
Requires a Bachelors, Masters or a PhD in Data Science, Computer Science, Statistics or Artificial Intelligence.
0 years: BS candidates must have relevant academic research and/or internship experience. MS and PhD candidates must be pursuing some graduate work related to machine learning, statistics, and/or artificial intelligence.
Coursework/project work in Python. Some experience with ML libraries, such as TensorFlow, PyTorch, and Sklearn.
Excellent mathematical skills in linear algebra and statistics.
A valid/clear driver's license is required.
Special Requirements:
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
For benefits information at our San Antonio location, click here. For benefits information at all other locations, click here.
An Equal Employment Opportunity/Affirmative Action Employer Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran Committed to Diversity in the Workplace
