About The Position

Use deep learning to create new solutions (including foundation models) and enhance existing applications. Push the state-of-the-art and develop intellectual property. Transfer technology to product groups and draft patent applications. Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.

Requirements

  • Ph.D. in Computer Science or similar field.
  • A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience.
  • Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML).
  • Good knowledge about current machine learning literature.
  • Highly skilled in Python and one or more popular deep learning frameworks (TensorFlow or PyTorch).
  • Ability to envision new technologies and turn them into innovative products.
  • Diffusion, autoregressive, or other generative models.
  • Self-supervised, contrastive learning, auto-encoders.
  • Audio, image, or text applications - Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc.

Nice To Haves

  • Knowledge in audio, video, or text processing is desirable.
  • Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP).

Benefits

  • bonus
  • benefits
  • some roles may also include equity

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

Number of Employees

1,001-5,000 employees

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