Senior Computer Vision Scientist, AI

Key Skills

Aartificial intelligence, Computer Vision (CV), Deep Learning, Design, Effective communication skills, GANs, Machine learning techniques, PyTorch, Statistics, TensorFlow

Job Description

Join us at Picsart AI Research and be part of an environment that fosters innovation, creativity, and a pioneering spirit. As a Senior Computer Vision Scientist, you will contribute to developing cutting-edge technologies for real-world computer vision problems. Your expertise in machine learning will play a key role in shaping the future of AI-generated digital creativity for millions of users worldwide. Our ideal candidate will possess a harmonious blend of proficiency in theoretical thinking, coding, academic writing, and a passion for advancing the frontiers of computer vision and AI.

You will closely work on the frontier of Generative AI by using recent AI/CV technologies like Diffusion Models, GANs, etc., all while having the opportunity to contribute to research publications and publish at top-tier venues.

By joining us, you will benefit from

• An honest, open culture that emphasises feedback and promotes professional and personal development.
• Hybrid work model — our team is distributed worldwide, from Armenia to US, UK, Germany, Spain and Romania.
• Wellbeing benefits (including a monthly wellbeing fund).
• Growing opportunities — based on your preference you can grow in the company as a people manager or as an individual contributor. 
• An environment that fosters innovation and creativity, a culture with the ability to pilot new trends

You will

• Research and develop novel state-of-the-art computer vision algorithms. Topics include but are not limited to generative AI with diffusion and autoregressive models, video generation/editing, inpainting, and super-resolution.
• 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 specified by the product requirements.
• Support and justify new ideas with a theoretical and intuitive basis.
• Collaborate with product managers and be highly involved in the usage of the research in the product.
• Follow up and support the development of models in an end-to-end manner: from design to production.
• Analyse, Interpret and explain outcomes of non-trivial experiments.
• Analyse the data used in experiments, understand the subtleties of it, and 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.

About you

• Ph.D. degree in Computer Science, Math, Statistics, or other related fields.
• 3+ years of industry working experience in machine learning, deep learning (on computer vision tasks.)
• Experience in continuous development of ML/DL models and supporting them in the production.
• Experience in scientific/academic research demonstrated by grants, patents, and/or first-authored publications at high-ranked conferences (such as CVPR, ICCV, ECCV, SIGGRAPH, etc.) and/or journals (such as TPAMI, TIP, IJCV, etc.)
• Experience in deep theoretical understanding, communicating complex research ideas clearly and concisely in both written and verbal formats.
• Experience in ML/DL frameworks such as PyTorch and TensorFlow.
• Experience in diffusion models and a deep understanding of the theory behind them.
• Experience in autoregressive model training is a big plus.
• Experience in GANs is a plus.
• Experience in leading teams or mentoring is a plus.
• Experience in classic computer vision approaches is a plus.
• Excellent self-organization, time management, planning, and analytical skills.
• Advanced written and verbal English communication skills.