By joining the Enhancement and Landmarks team at Picsart AI Research(PAIR) as a Senior Computer Vision Engineer, you will get a unique opportunity to work on developing new technologies for real-world image and video editing problems using ML/DL-based solutions and improving/optimizing existing mobile frameworks and server-side APIs.

You will have the opportunity to work with technologies like Python, Classic CV, ML/DL frameworks( PyTorch, Tensorflow), Face Detection and 3D Reconstruction, Nvidia products, Data Structures, and Algorithms.

By joining us, you will benefit from

- An honest, open culture that emphasizes feedback and promotes professional and personal development. 

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

- Well-being benefits (including a monthly well-being fund)

- Growing opportunities — based on your preference, you can grow in the company as a people manager or individual contributor. 

- An environment that fosters innovation and creativity, a culture with the ability to pilot new trends

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You will

- Develop and prototype advanced software technologies based on face detection, landmarks detection, 3D reconstruction, object detection, segmentation, tracking, and enhancement

- Collaborate with product managers and dive deeper into the usage of the research, brainstorm with the product team on developing new creative ideas

- Characterize and evaluate the performance of developed solutions

- Identify platform technical limitations and overcome them

- Optimize ML/DL models and solutions

- Develop automation pipelines for training, benchmarking, and deployment.

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About you

- 3+ years of industry working experience as a CV Engineer or ML Engineer

- Experience in the continuous development of ML/DL models and supporting them in production

- Strong knowledge of Python, including standard algorithms and data structures

- Experience with modern frameworks for ML/DL inference (MNN, TensorRT, PyTorch, TFLite)

- Experience with NumPy, skimage, scikit-learn, pandas, scipy

- Knowledge of Nvidia products (triton, TensorRT, cuda)

- Knowledge and experience in OOP principles and software architecture design.

- Fluency in written and spoken English

- You need to be able to present complex information in a simple way 

 

Nice to have: 

- Understanding of ML/DL building blocks and their working principles

- Familiarity with MLDevOps (ClearML, MLFlow, or similar)

- Experience in C++

- Experience in classic computer vision approaches

- Experience in optimizing ML models for mobile devices

- Experience with mobile development

- Experience with Video processing

- Understanding of the GCP ecosystem.

 

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