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, and academic writing.

You will closely work on the frontier of Generative AI by using recent AI/CV technologies like Diffusion Models, GANs, etc..

By joining us, you will benefit from  

– An honest, open culture that emphasises feedback and promotes professional and personal development.

– Remote friendly setup— our team is distributed worldwide, from Armenia to US, UK, Germany, Spain and Romania

– Wellbeing benefits (including a monthly wellbeing fund)

– 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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