Hypotenuse AI – Machine Learning Engineer Intern

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

Requirements:

• 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