Auf einen Blick
- Aufgaben: Develop cutting-edge computer vision algorithms and collaborate on innovative AI projects.
- Arbeitgeber: Join Picsart, the world's #1 creative platform with over 150 million active users.
- Mitarbeitervorteile: Enjoy a hybrid work model, wellbeing benefits, and opportunities for professional growth.
- Warum dieser Job: Be part of a culture that fosters creativity and innovation while impacting millions globally.
- Gewünschte Qualifikationen: Ph.D. in relevant fields and 3+ years of experience in machine learning and deep learning.
- Andere Informationen: Contribute to research publications and collaborate with a global team of experts.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
This is an exciting opportunity to join a fast-paced and dynamic tech company. Picsart is the world\’s #1 creative platform and social editing app with a huge 150+ million monthly active users and an install base of more than 1 billion.
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 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.
What we seek and value most in our candidates
- If you like to create things with a user mindset, take ownership and have a natural bias for impact while having fun, you’re our person!
- 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.
We work on providing the best global benefits and support to our employees
Picsart offers competitive and equitable pay for every job and every market in which we operate.
Flexibility and time off
In addition to a generous PTO policy, Picsart also provides time off for maternity, paternity, sick leave, and mental health days.
We want our employees to share in the rewards of Picsart\’s success, so we recognize both team and individual performance.
Professional & personal growth
Picsart provides growth opportunities including: Training, online education and certification programs, coaching opportunities, and mentorships.
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Senior ML Scientist, GenAI Arbeitgeber: PicsArt, Inc.

Kontaktperson:
PicsArt, Inc. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior ML Scientist, GenAI
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI, particularly diffusion models and GANs. Being able to discuss recent breakthroughs or your own insights during the interview can set you apart as a knowledgeable candidate.
✨Tip Number 2
Engage with the Picsart community on social media or forums. This can help you understand the company culture better and may provide insights into what they value in their team members.
✨Tip Number 3
Prepare to showcase your previous work in machine learning and computer vision. Be ready to discuss specific projects where you implemented innovative solutions, especially those that led to tangible results.
✨Tip Number 4
Highlight your collaborative experiences. Since the role involves working closely with product managers and other scientists, demonstrating your ability to work in a team and communicate complex ideas effectively will be crucial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior ML Scientist, GenAI
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. Focus on relevant projects, especially those involving generative AI, diffusion models, and GANs. Use specific metrics to showcase your impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for advancing AI technologies and how your background aligns with Picsart's mission. Mention specific projects or research that demonstrate your expertise and creativity in the field.
Showcase Your Research Experience: Detail your scientific research experience, including any publications at high-ranked conferences. Highlight your ability to communicate complex ideas clearly, as this is crucial for collaboration with product managers and teams.
Highlight Soft Skills: Emphasize your self-organization, time management, and analytical skills. Mention any experience in mentoring or leading teams, as well as your ability to work in a hybrid environment, which is important for Picsart's distributed team.
Wie du dich auf ein Vorstellungsgespräch bei PicsArt, Inc. vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and deep learning, especially in computer vision tasks. Highlight specific projects where you've implemented algorithms like GANs or diffusion models, and be ready to explain the theoretical underpinnings of your work.
✨Demonstrate Your Research Acumen
Since the role involves contributing to research publications, share your past experiences with academic writing and any relevant publications. Discuss how you can translate complex ideas into clear, understandable concepts for both technical and non-technical audiences.
✨Emphasize Collaboration Skills
The position requires working closely with product managers and other scientists. Prepare examples of how you've successfully collaborated in the past, focusing on how you exchanged ideas and contributed to team projects.
✨Express Your Passion for Innovation
Picsart values creativity and a pioneering spirit. Share your enthusiasm for advancing AI technologies and how you stay updated with the latest trends in generative AI. Discuss any innovative ideas you have that could contribute to the company's mission.