Research Intern

Role Overview

We are looking for a Research Intern who are passionate about using their skills in machine learning, artificial intelligence, or data science to contribute to high-impact projects. You’ll collaborate with senior researchers and engineers to explore new AI techniques, develop models, and perform experiments that directly inform our platform’s growth.

This is an exciting opportunity for individuals looking to dive into AI/ML research and gain valuable experience in a fast-paced, mission-driven environment.

Responsibilities

• Research & Experimentation: Assist in researching cutting-edge AI/ML techniques and algorithms to solve real-world problems in industries like healthcare and life sciences.
• Model Development: Help design, implement, and evaluate machine learning models and algorithms that enhance the capabilities of our platform.
• Data Analysis: Analyze large datasets, perform exploratory data analysis (EDA), and contribute to data preprocessing and feature engineering for AI model development.
• Collaboration with Engineers: Work closely with engineering teams to integrate research-driven insights and models into production systems.
• Literature Review & Reporting: Conduct literature reviews to stay up-to-date with advancements in AI/ML, summarize key findings, and report progress in internal meetings.
• Documentation & Presentation: Contribute to research papers, internal reports, and presentations to communicate findings and results to both technical and non-technical stakeholders.
• Hands-on Learning: Gain exposure to real-world applications of machine learning, AI-driven infrastructure, and the unique challenges of working with regulated data in industries like healthcare.

Qualifications

• Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field (Bachelor’s, Master’s, or PhD students encouraged to apply)
• Strong foundational knowledge in machine learning, deep learning, or AI-related topics
• Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity with data analysis tools and libraries (e.g., pandas, NumPy, Matplotlib)
• Experience with data preprocessing, feature engineering, and exploratory data analysis (EDA)
• Familiarity with cloud platforms (AWS, GCP, or Azure) and data processing frameworks (e.g., Spark, Hadoop) is a plus
• Strong analytical and problem-solving skills with a passion for AI/ML research and practical applications
• Excellent communication skills with the ability to work in a collaborative, cross-functional team environment
• Self-starter with the ability to manage multiple tasks and projects with minimal supervision
• Bonus: Previous research experience or internships in machine learning, AI, or data sciece