Member of Technical Staff, Multimodal
Team: Engineering
Location: Santa Clara HQ
Commitment: Full-time
Workplace Type: onsite
Salary:
Responsibilities
- Design model architectures and loss objectives to handle combinations of images, video, text, speech, and audio data.
- Build diverse datasets to support multimodality learning, including data collection and processing.
- Develop new evaluation pipelines to adapt to various forms of generative outputs.
You may be a good fit if you have:
- Experience in writing clean and efficient codeMaster or Doctoral degree in computer science or equivalent.
- Proficiency in at least one deep learning framework, such as PyTorch or JAX.
- Participated in at least 1 research project related to multimodality learning.
Strong candidates may also have:
- Experience in generic multimodality learning research (e.g., multimodal joint embedding, text-to-image generation, text-to-video generation, etc.)
- Experience in document understanding (e.g., layout analysis, structured data extraction, OCR).
- Experience in audio transcribe, diarization, audio generation, etc. Active Github contributions are a big plus.
- Experience in handling data at billions-scale
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