Machine Learning Scientist, Creative Intelligence
Yerevan, Armenia
Applications have closed
Picsart is looking for a Machine Learning Scientist who is interested in developing cutting edge technologies for real-world computer vision problems. The Creative Intelligence team is mainly working on image effects and content generation. The ideal candidate will be equally comfortable with theoretical thinking, coding and academic writing.
Responsibilities:
- Research and develop novel state-of-the-art computer vision algorithms. Topics included but not limited to: Video/Image Semantic Segmentation;Video/Image Object Detection and Tracking;Face Attribute Editing;4k Face Generation;Facial/body landmark detection;Thematic Sticker Content Generation;Video/Image Inpainting / Object Removal;Video/Image Enhancement;High-Resolution Texture Synthesis;Neural Network Pruning;Neural Architecture Search;
- Create and implement non-standard, fresh and creative scientific ideas to improve or speed up existing technologies
- Push the ideas to improve the quality of designed models in terms of product requirements
- Support and justify the new ideas with a theoretical and intuitive basis
- Collaborate with product managers and dive deeper into the usage of the research, brainstorm with the product team on developing new creative ideas
- Follow up and support the development of models in an end-to-end manner: from design to production
- Analyze, Interpret and explain outcomes of non-trivial experiments.
- Analyze the data used in experiments, understand the subtleties of it, modify appropriately if necessary
- Communicate with data and product teams, write clear and understandable research requirement documents
- Collaborate with other scientists, exchange novel and interesting ideas, and reflect these ideas in the research process.
Required Qualifications:
- 3+ years of industry working experience in machine learning, deep learning (on computer vision tasks).
- Has or currently is in the process of obtaining a PhD degree in Computer Science, Math, Statistics or other related fields.
- Experience in continuous development of ML/DL models and supporting them in the production
- Experience in leading teams or mentoring is a plus
- Experience in creating ML models for mobile devices is a plus
- Experience in C++ is a plus
- Experience in GANs is a plus
- Experience in classic computer vision approaches is a plus
#LI-MM1
What we seek and value most in our candidates
Professionalism in both soft and hard skills; motivation to grow, learn and share, positive attitude, flexibility, transparency, ownership and the most important - passion and commitment.
Picsart is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are committed to providing reasonable accommodation to employees who have protected disabilities consistent with local law.
Picsart, Inc. is an E-Verify Employer in the US. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
ABOUT US
Picsart is the world’s largest digital creation platform and a top 20 most downloaded app. Every month, the Picsart community creates, remixes, and shares billions of visual stories using the company’s powerful and easy-to-use editing tools. Picsart has amassed one of the largest open-source content collections in the world, including free-to-edit photos, stickers, backgrounds, templates, and more. Picsart is available in 30 languages for free and as a subscription on iOS, Android, Windows devices and on the Web. Headquartered in Miami, with offices around the world, Picsart is backed by SoftBank, Sequoia Capital, DCM Ventures, Insight Partners, and others. Download the app or visit picsart.com for more information.
Tags: Computer Science Computer Vision Deep Learning Machine Learning ML models PhD Research Statistics
Perks/benefits: Career development
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