Intern, Software Engineering (Machine Learning)
About The Position
Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position This 10-week summer internship provides an opportunity to gain hands-on experience within the Software Engineering and Machine Learning function in a collaborative, fast-paced research environment. The Software Intern will support research and development initiatives focused on image processing, computer vision, and machine learning systems used to improve internal scientific and analytical tools. In this role, you will gain exposure to applied machine learning workflows, including model development, evaluation, interpretability research, and data pipeline optimization. This internship is designed to provide experience contributing to research-driven software solutions that enhance performance, robustness, and usability of machine learning systems supporting scientific discovery. About You You are passionate about machine learning, computer vision, and solving complex data-driven challenges. You enjoy designing experiments, analyzing results, and building models that generate meaningful insights. You are analytical, curious, and comfortable working with image data, machine learning frameworks, and real-world datasets. You enjoy collaborating with engineers and scientists and are motivated to translate research ideas into practical tools and prototype solutions.
Requirements
- Currently enrolled in an accredited university pursuing a Bachelor’s or graduate-level degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Electrical Engineering, or a related quantitative discipline.
- Entering senior year of a bachelor’s program or currently enrolled in a graduate-level degree program at the start of the internship.
- Must be enrolled in school during the internship program.
- Coursework or hands-on experience in machine learning, statistics, and computer vision.
- Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow.
- Experience with data analysis, experimental design, and machine learning model evaluation.
- Strong analytical and problem-solving skills with the ability to interpret and communicate technical findings.
- Ability to work collaboratively in a team environment while managing independent research or development tasks.
- Must be available to work full-time (40 hours per week) during core business hours for a minimum of 10 weeks during the summer internship program.
Nice To Haves
- Exposure to model interpretability, explainability, or visualization techniques is preferred.
Responsibilities
- Lead or substantially contribute to a research-focused project related to image processing and machine learning.
- Develop and evaluate machine learning approaches to improve model performance, robustness, and usability of internal tools.
- Support development and testing of model interpretability techniques to better understand and evaluate machine learning systems.
- Design and execute targeted experiments to evaluate model performance, training strategies, and data pipeline improvements.
- Prepare, clean, and analyze image-based and structured datasets to support machine learning model development.
- Evaluate model outputs using quantitative performance metrics and visualization techniques.
- Collaborate with cross-functional teams to translate research concepts into prototype solutions and internal tools.
- Document technical approaches, experimental results, and research findings.
- Present internship project outcomes and key learnings.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
