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Description:
The Machine Learning Intern will work on applied computer vision pipelines across multiple products, experimenting with, implementing, and evaluating ML models in the visual domain.
The intern will focus on early and frequent deployment, writing well-structured, maintainable, and well-documented code, including unit, integration, and end-to-end tests.
Participation in code reviews, architecture & design sessions, and staying updated on recent technological developments is expected.
Requirements:
The ideal candidate should be thoughtful, conscientious, and self-directed.
Strong knowledge of computer vision and solid Python programming experience are required.
Experience in applying ML to computer vision problems, fine-tuning generative vision models, creative coding, and developing generative algorithms is necessary.
Understanding of ML fundamentals like bias-variance tradeoffs, loss functions, and evaluation metrics is essential.
A Bachelor's Degree in a STEM field or equivalent job experience is required.
Excellent communication, listening, and presentation skills are needed to engage with diverse audiences.
Benefits:
This is a fully remote position with flexible working hours.
The intern will work with an inspiring team of colleagues spread worldwide.
Mentoring and support will be provided in learning advanced ML, computer vision, and cybersecurity methods.
Pleasant, modern development and deployment workflows are offered, focusing on shipping early and often.
The position offers high impact with lots of users, happy customers, high growth, and cutting-edge R&D.
The organization has a flat structure, allowing direct interaction with customer teams.