Hypotenuse AI – Machine Learning Engineer Intern

Hypotenuse AI
Machine Learning Engineer Intern
Date Listed
11 May 2021
Job Type
Entry Level / Junior Executive
Job Period
Immediate Start, For At Least 3 Months
IT / Information Technology
Artificial Intelligence / Smart Automation
Location Name
Allowance / Remuneration
$800 - 1,000 monthly
Company Profile

Hypotenuse AI is a Y Combinator-backed Machine Learning start-up that automatically generates written content for e-commerce companies. It is out to transform the e-commerce storefront by personalizing the experience for individual shoppers using machine learning.

We are a passionate team with experienced founders from a background in big tech companies, AI research and e-commerce. We have global ambitions and are expanding our team in Singapore. If you are inspired to take up new challenges to drive the future of e-commerce and content, come join our team! More about us on TechCrunch.

Job Description

As an ML Engineer intern at Hypotenuse, you will get hands on experience in designing and implementing state-of-the-art machine learning models for computer vision and NLP while receiving direct mentorship.

Responsibilities include:

  • Ownership in designing, implementing, validating and deploying deep learning models for computer vision and NLP
  • Communicate with different company functions to understanding the problem and solution space and its requirements
  • Build, run and extend on experiments with cutting edge research in machine learning to solve real-world problems in e-commerce
  • Write neat and maintainable code of high quality
  • Contribute to engineering efforts to build scalable production ML systems


  • Passionate about applied machine learning and its use to solve complex real world problems
  • Project or work experience in designing, training and validating deep learning / neural network-based architectures in any application (e.g. computer vision, NLP, graphs, tabular data, speech)
  • Strong proficiency in one or more programming languages, ideally with Python being one of them
  • Experience with any deep learning framework (e.g. Pytorch, Tensorflow, MxNet..)
  • Ideally, experience in building, deploying, and improving Machine Learning models and algorithms in real-world products — including GPU training and model serving
  • Relevant work experience in machine learning software development and architectures for machine learning is a plus.
  • Excellent verbal and written communication skills; ability to convey complex concepts simply
Application Instructions
Please apply for this position by submitting your text CV using InternSG with an attachment of your resume via a Google Drive link.
Kindly note that only shortlisted candidates will be notified.

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