Machine Learning Engineer

Summary

Join CodaMetrix as a Machine Learning Intern and gain hands-on experience in machine learning engineering. This internship is ideal for students pursuing a Bachelor's or early Master's degree in Computer Science, Data Science, or a related field. You'll work closely with experienced machine learning engineers, data scientists, and software engineers to support the development and integration of machine learning models into real-world systems. This learning-focused role offers mentorship and exposure to modern machine learning workflows, tools, and infrastructure, while contributing meaningfully to our projects.

Requirements

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, or related discipline
• Familiarity with Python and basic ML libraries such as scikit-learn, pandas, or numpy
• Exposure to or coursework in machine learning concepts, algorithms, or statistics
• Interest in distributed systems, data engineering, or cloud-based platforms (e.g., AWS, Databricks)
• Enthusiasm to learn, ask questions, and work collaboratively in a team
• Strong written and verbal communication skills

Responsibilities

• Assist in the development and testing of machine learning models and data pipelines
• Support data preprocessing, feature extraction, and exploratory data analysis
• Collaborate with engineers and scientists on model training, evaluation, and experimentation
• Help document workflows, performance metrics, and model outcomes
• Participate in regular scrums, code reviews, and team meetings to gain exposure to agile development
• Learn and contribute to projects using Databricks, Spark, and AWS tools
• Apply fundamental programming skills (primarily in Python) to support various ML tasks

Preferred Qualifications

• Exposure to Spark, PyTorch, or TensorFlow through coursework or personal projects
• Experience working on group projects, hackathons, or research initiatives related to machine learning
• Knowledge of healthcare data or coding systems (ICD, CPT, SNOMED)
• Familiarity with version control (e.g., Git), Jupyter notebooks, or ML experimentation platforms

Benefits

• Our Internship and Co-op Program is a paid, full-time program for students of all years
• From undergrad through PhD programs, we are devoted to helping students grow and develop their skillset in the healthcare-technology space
• Full exposure to the CodaMetrix experience including working with a dedicated team, and attending company-wide meetings and events
• An assigned reporting manager for impactful professional development and feedback
• Self-driven projects specific to your focus area
• Professional development tips and workshops focused on networking, resume review, and more
• Mentorship opportunities designed to support your career growth and development during and after your internship/co-op
• Social events to get acquainted and network with other company employees of all levels (entry level through executive)
• Cohort-specific gatherings to further connect and get to know one another