AI/ML Engineering Intern
About The Position
This is an applied AI internship inside a product where the model output is the product. We use LLMs to read unstructured professional histories, extract structure from them, score candidates against a role, and rank what a recruiter sees first. Every one of those steps can be confidently wrong, so the interesting work is as much about evaluating quality as it is about building the pipeline. You will work on real LLM workflows against messy data at volume: designing prompts and extraction logic, building the evaluations that tell you whether a change actually helped, and improving ranking and retrieval where the current answer is not good enough. This is applied rather than research work, and you will be able to see the effect of what you build on what real users get.
Requirements
- Strong programming fundamentals in Python, TypeScript, JavaScript, or a similar language.
- Interest in applied AI, machine learning, LLMs, ranking, retrieval, or data systems.
- Comfort working with messy data and evaluating output quality.
- Has built AI/ML, data, class, research, or side projects.
- Strong problem-solving ability and a willingness to learn quickly.
- Clear communicator who can work independently in a remote environment.
Responsibilities
- Build and improve LLM workflows for extraction, scoring, and ranking against real product data.
- Design evaluations that measure output quality, and use them to judge whether a change is an improvement.
- Work with messy, high-volume unstructured data and turn it into reliable structure.
- Improve retrieval and ranking so the most relevant results surface first.
- Investigate incorrect or low-quality output and trace it back to its cause.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Intern
Education Level
No Education Listed
