Machine Learning Engineer Intern

Location: Singapore

*** Mention DataYoshi when applying ***

Hypotenuse AI

Machine Learning Engineer Intern

Date Listed
12 Jul 2021

Job Type
Entry Level / Junior Executive Intern/TS

Job Period
Immediate Start, For At Least 3 Months


IT / Information Technology


Artificial Intelligence / Smart Automation

Location Name

Allowance / Remuneration
$800 - 1,200 monthly

Company Profile

At Hypotenuse AI , we're building the best shopping experience to power every e-commerce store. We are a Y Combinator-backed machine learning start-up that automatically generates written content for e-commerce companies, including product descriptions, advertising text and headlines.
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

At Hypotenuse, interns aren’t here to do paperwork or monotonous tasks. We empower you to make decisions, contribute creatively and think critically. We want self-starters who are entrepreneurial and want a taste of working in a high-growth, fast-moving start-up.
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.

Kindly note that only shortlisted candidates will be notified.

*** Mention DataYoshi when applying ***

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