Lead Research Scientist, Foundation Model, Speech & Audio 2878

San Jose, US-United States
Posted 4 months ago
About The Company

This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors.


About the Team

The SAMI team’s mission is to empower content interaction and creation across our company’s products using speech & audio related technologies. We focus on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various products and ultimately bring joy to our global user base!
We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with our company.


Responsibilities

– Conduct cutting-edge machine learning research and development in music understanding and generation.
– Transfer advanced technologies to our company’s products.
– Explore new products with music intelligence technology at its core.


Requirement

– Ph.D. graduate with a background in computer science, mathematics, engineering, or a related field
– Experience in one or more areas of deep learning and music intelligence

including but not limited to:

– Deep generative models
– Representation learning
– Sequence classification
– Music information retrieval and source separation
– Speech recognition and synthesis
– Natural language processing


Preferred Qualifications
– Publications in top-tier venues such as NeurIPS, ICLR, ICML, ICASSP, INTERSPEECH, ACL, EMNLP, ISMIR.
– Familiar with deep learning frameworks such as Tensorflow and PyTorch.
– Highly competent in algorithms and programming
– Strong coding skills in Python and C/C++
– Familar with large-scale training and data processing
– Familiar with engineering principles and best practices
– Ability to work collaboratively in a fast-paced, multi-functional environment

Job Features

Job CategoryAI Research
SenioritySenior IC / Tech Lead
Base Salary$140,000 - $250,000
Recruiterlevana.lyu@ocbridge.ai

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