Datacor
Summer 2027 AI Engineer Intern
Remote, US +1 · Remote · Internship · Posted Oct 1, 2026
- Location
- Remote, US
Remote - US - Experience
- No specific number of years stated.
- Education
- Currently enrolled in a Master’s or PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or a related field.
About the job
Develop and deploy production-grade AI applications and features, including generative LLM applications, in collaboration with stakeholders and cross-functional teams.
What you'll do
- Identify AI opportunities, lead MVP development, and iterate from problem framing through production deployment.
- Build prototypes and data pipelines, and deliver reliable, scalable AI features.
- Experiment with generative LLMs using prompts and user feedback; communicate work and impact to technical and business audiences.
What they ask for
- Currently enrolled in a Master’s or PhD program in Computational Data Science, Computer Science, Electrical/Computer Engineering, or a related field.
- Expertise implementing and fine-tuning generative AI LLMs, with strong NLP knowledge including embeddings, GPT, and Transformer models.
- Solid foundation in deep learning, machine learning, statistics, and optimization from coursework or practical experience.
- Proficient in Python and C++/Java; familiarity with cloud computing and AI deployment on AWS or Google Cloud.
Nice to have
- Professional environment experience, including prior internship experience, is preferred.
Tools
LLMs, NLP, embeddings, GPT, Transformer models, Python, C++, Java, AWS, Google Cloud
AI focus
Develop, prototype, fine-tune, and deploy generative AI and LLM applications and production features; build data pipelines and use prompts and user feedback.
Model-written summary · the original posting is authoritative