Applied Research Scientist
Adobe
San Jose
hace 6 días

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Sensei Applied Science Machine Learning (ASML) team is seeking an applied scientist who will contribute to the goal of productizing exciting and innovative machine learning solutions in Computer Vision and Natural Language Processing problems across various Adobe products.

The role involves a good mix of research and engineering with and end-to-end responsibility of building Machine Learning models and deploying them at scale.

Must haves to succeed

  • MS or PhD in Computer Science, Machine Learning, Deep Learning or relevant field
  • 5+ years of relevant experience in the industry or academia
  • 5+ years of hands-on experience with Python, Pytorch, PytorchLightning, Tensorflow, SKLearn
  • 5+ years of experience in building machine learning models in areas of Computer Vision and / or Natural Language Processing
  • Experience and awareness of state-of-the-art in multimodal pretraining, object detection, instance segmentation etc. along with state-of-the-art methods and architectures like Transformers, Self-Supervised training, Contrastive learning, GANs etc.
  • Experience in Web services / REST stacks
  • Exposure to AWS / GCP / Microsoft Azure or the like for server side deployments
  • Nice to Haves

  • Experience in Web services / REST stacks
  • Exposure to AWS / GCP / Microsoft Azure or other cloud platforms
  • Hands-on experience with Spark and distributed data pipelines
  • Experience with privacy aware machine learning and Federated Learning
  • Experience with Bias and Fairness in data and machine learning modeling along with bias identification and mitigation techniques in image models and language models
  • Experience with Elastic Search, Solr or related Search indexing technology
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