overlay
Intern: Science NYC
Early Careers / Intern
on site: New York City
added Sun Aug 06, 2023
link-outApply to Pinecone

Pinecone is pioneering search and database technology to power AI/ML applications for the next decade and beyond. We provide customers with capabilities that until now have only been in the hands of a few tech giants.

If you’re excited about hard problems in the area of AI, machine learning and search technologies, we would love to meet you! We are looking for excellent people who move nimbly between research and production and dare to make an impact.

As a Research Intern at Pineconce, you will be working on cutting edge research at the intersection of information retrieval, deep learning and representation learning. You will be part of the Science team, which is in charge of evolving and revolutionizing how the world does Search. Dependent on performance, there is the opportunity for full-time employment.

Basic Qualifications

  • Ph.D. student in Computer Science, Electrical Engineering, Mathematics, Statistics, or any other similarly technical field
  • Demonstrated research experience with a proven track record of publications at conferences or journals
  • Strong software development skills
  • Good written and verbal communication skills in English

Bonus points

  • Knowledge / experience in information retrieval models and metrics, including embeddings and ranking approaches
  • Knowledge / experience in Approximate Nearest Neighbor algorithms
  • At least one deep learning framework, such as Tensorflow or PyTorch
  • Experience with cloud computing infrastructure

Interview Timeline:

  • Application review: August-October
  • Online assessment period: September-October
  • Interview and final decision: October-December

Pinecone is pioneering search and database technology that's revolutionizing how developers build search systems. Our managed vector database provides customers with easy-to-use capabilities that until now have only been in the hands of a few tech giants. The demand for vector databases is growing incredibly fast, and it shows in our user base. We have a large audience of ML engineers, software engineers, data scientists, and technical architects who are eager to learn and build with our product.