Machine Learning Engineer Intern
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
The Cameos team is innovating new ways for Snapchatters to express themselves with their friends. With Cameos, you become the star of short, looping videos that you can customize with your own face and send to friends in Chat. The team consists of engineers, designers, and content specialists who are committed to creating the perfect Cameo for every moment.
We’re looking for a Machine Learning Engineer Intern to join the Cameos Team.
What you’ll do:
Develop advanced ways to integrate Snapchatters into Cameos using machine learning
Explore and implement state-of-the-art algorithms to keep Snap products on the cutting-edge of machine learning technology
Create products that are used by millions of Snapchatters
Knowledge, Skills & Abilities:
Ability to proactively learn new concepts and apply them at work
Strong communication and collaboration skills
Good understanding of machine learning approaches and algorithms
Minimum Qualifications:
Currently pursuing a BS/BA degree or equivalent years of experience
Experience with python and deep learning frameworks: PyTorch/TensorFlow
1+ years of research or engineering experience in deep learning with one or more of the following: segmentation, object detection, classification, model optimizations (e.g. pruning, quantization, distillation)
Preferred Qualifications:
Software Engineer or Research Engineer (could be in BS/MS/PhD program)
Deep learning / Computer vision interest and experience (internship, research, project experience)
Experience with generative adversarial networks
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at [email protected].
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