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Software Engineering Intern (PhD Students)

Thermo Fisher Scientific

Thermo Fisher Scientific

Software Engineering Intern (PhD Students)

South San Francisco, CA
Internship
Paid
  • Responsibilities

    Summary of Internship

    The Machine Learning (ML) Algorithm Development Internship position provides an opportunity for science or engineering students who would like to get hands-on experience working with engineers in a fast-paced R&D environment. The intern will contribute to a research and development project involved with using Machine Learning (ML) and Deep Learning to enable robust fragment analysis, the separation and characterization of PCR products by capillary electrophoresis. The position starts in May or June, paid working 40 hours per week through August. An opportunity exists for this position to continue through the academic year on a part-time basis to allow for class schedules.

    Essential Functions

    • Prepare and pre-process data for processing with Machine Learning (ML) and/or Deep Learning (DL) Algorithms

    • Evaluate the effect of various ML/DL architectures on the performance and errors (Compare with some initial ideas on how to do this)

    • Analyze data for specific patterns and understand how to express that in terms of the ML/DL architectures investigated and chosen

    • Evaluate algorithm performance

    • Create presentations describing the work (typically every 3 weeks)

    Skills and Abilities

    • Strong understanding of, and experience using, ML and DL algorithms.

    • An interest in numerical techniques and signal processing

    • Proficiency with a software language: enough to create tools to manipulate and display data and implement numerical algorithms

    • Ability to work independently and as a member of a multi-functional team

    • Make technical presentations to the multi-functional team

    • Willingness to learn, be mentored, and improve

    Qualifications

    • Pursing a Ph.D. in science or engineering

    • Proficiency with Python, Matlab, and Keras. Strength with PyTorch is a plus.

    To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

  • Industry
    Biotechnology
  • Fun Fact
    25% of our current revenue is generated from products that didn’t exist 5 years ago.
  • About Us

    As the world’s leader in serving science, Thermo Fisher Scientific's professionals develop critical solutions—and build rewarding careers. They help customers in finding cures for cancer, protecting the environment, making sure food is safe, and so much more. When you #StartYourStory with Thermo Fisher, you are guaranteed meaningful work - both personally and professionally.