Machine Learning Engineer Intern

CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models. We are passionate about getting doctors away from the keyboard and back to clinical care. Position Overview We are looking for a motivated Machine Learning Intern to join our team for an exciting opportunity to 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, who are eager to learn, grow, and contribute in a real-world, collaborative environment. As a Machine Learning Engineering Intern, 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 is a learning-focused role, designed to offer mentorship and exposure to modern machine learning workflows, tools, and infrastructure, while contributing meaningfully to our projects. 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: 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 Beneficial Experience: 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 What CodaMetrix can offer you: 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. We want CodaMetrix to be a place where you feel welcomed, challenged, and invigorated. We offer high impact-projects, mentorship, and networking activities to all of our interns and co-ops, such as: 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 Internships will be 14 weeks and Co-ops will be 6 months in length. All Boston-based interns and Co-ops will be asked to be hybrid in our Boston, MA office (2-3 days per week). For those located outside of commuting distance, remote opportunities may still be available. Please apply if you are interested and we can consider your remote interest along with local candidates. Background Check Notice All candidates will be required to complete a background check upon acceptance of a job offer. Equal Employment Opportunity Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment. Don’t meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us.

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