Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
Design and implement scalable and efficient Q&A RAG frameworks
Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
Effectively communicating and demonstrating work to stakeholders

Requirements

Currently pursuing a Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
Experience building sophisticated RAG pipelines with LLMs
OR Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
OR Experience developing and deploying complex AI/ML models to production
Currently pursuing a Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 1+ years related experience (e.g., statistics, predictive analytics, research)
1+ year(s) experience productionizing complex AI/ML models
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
1+ year(s) experience conducting research as part of a research program (in academic or industry settings)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLLarge Language ModelsNLPCVQ&A frameworksRAG pipelinesmachine learningdeep learningPyTorchTensorFlow

Soft Skills

communicationcollaborationdemonstration