Company

Machine Learning And AiSee more

addressAddressSeattle, WA
CategoryInformation Technology

Job description

As an ML Applied Scientist on our team, you’ll be working with a team of computer vision and deep learning researchers and engineers to rapidly prototype ideas, test hypothesis, and investigate feasibility, with the eventual goal of shipping world-class algorithms and experiences that open up the boundaries of what’s possible. You will lead the design and development of generative AI solutions. Utilize established techniques and, when necessary, build custom algorithms to solve sophisticated challenges effectively. You will work cross-functionally to seamlessly integrate and deploy robust ML applications in a production environment. The role will enable you to stay at the forefront of artificial intelligence and Machine Learning advancements. Continuously exploring and evaluating new technologies and methodologies to enhance the technical capabilities of our team. Your insight will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers. Your work will be instrumental in helping Apple to understand and shape upcoming products and technologies that will have significant impact on customers.

Request

  • 5+ years of industry or strong academic experience in CVML
  • Experience with state-of-the-art Generative AI models, Multi-modal LLMs, contrastive learning, Foundation models, and/or Diffusion-based large vision models
  • Strong understanding of Python, and proficiency using ML toolkits, e.g., PyTorch
  • Strong software engineering skills to build scalable and robust infrastructure for deep learning data, modeling, and evaluation systems
  • Comfortable researching current ML literature and math including optimization methods and modeling techniques
  • Experience in the transition of a prototype into a final product
  • Excellent communication and collaboration skills in a cross functional setting.
Refer code: 9225453. Machine Learning And Ai - The previous day - 2024-05-09 22:53

Machine Learning And Ai

Seattle, WA
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