GenAI Engineer/Eval Engineer Summer Internship

Summary: Johnson & Johnson is a leader in healthcare innovation, dedicated to building a world where complex diseases are treated and cured. They are seeking a GenAI/Eval Engineer Intern to join their AI/ML team within the Innovative Medicine division, where the intern will contribute to projects focused on generative AI and data solutions. Responsibilities: - Use hands-on exploration to gain exposure to and familiarity with large-scale datasets, including text, images, and structured data - Build data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation - Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks - Stay informed on cutting-edge applications and tools in generative AI, AI Operations, and cloud computing, and present insights to the team through trainings and discussions - Develop code-based automated data pipelines capable of processing large volumes of multimodal data for AI applications - Contribute to the design and implementation of AI Agents and authoring tools that enable smarter, more efficient content creation and management processes Required Qualifications: - Currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Engineering, Digital Health, or a related field - Strong understanding of core concepts in Statistics, Data Science, or Computer Science, as demonstrated through current or prior coursework - Excellent written and verbal communication skills, with the ability to convey technical and non-technical concepts effectively - Familiarity with exploring and analyzing large datasets - A genuine interest in innovative research in Digital Health and Real World Data, along with a desire to gain domain knowledge in the field - Experience with Git version control and writing code in Python Preferred Qualifications: - Background or coursework in computer science, information systems, biomedical engineering, or life sciences - Hands-on experience through internships or projects involving data engineering and data science - Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face), Dev Ops tools (e.g Jenkins, Docker, Kubeflow, SageMaker) - Experience with cloud platforms (AWS, GCP, Azure) and data processing tools (e.g., Apache Spark, Airflow) - Previous independent or classroom research experience on data-focused projects - Previous experience or interest in developing AI Agents and digital tools for content authoring or automation Required Skills: Machine Learning, Data Engineering, Python Important Skills: Cloud Platforms, Git Version Control, Large Datasets Nice-to-Have Skills: Interest in Digital Health, Research Experience, Communication Skills Benefits: Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan., Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year., Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).