Senior ML Scientist, GenAI

Join us at Picsart AI Research and be part of an environment that fosters innovation, creativity, and a pioneering spirit. As a Senior Machine Learning 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.
   

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