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Multimodal Machine Learning Algorithm Engineer Intern (Data-AML-Algorithm) - 2024 Summer (PHD)

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ByteDance

Sep 29, 2023

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
  • San Jose

Requirements

  • Proficiency in popular Deep Learning frameworks such as PyTorch and TensorFlow, along with programming languages like Python or Java.
  • Preferred background in natural language processing, computer vision, and video analysis. Experience with large-scale online Machine Learning platforms or related work is a plus.
  • Familiarity with pre-trained technologies, including efficient training, deployment as a service, and working with pre-trained models in NLP, CV, and video analysis.
  • Advantageous to have published or interned in top conferences within the field, such as NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC, SigMOD, etc.

Responsibilities

  • Develop and enhance pre-trained models and code generation techniques to build advanced technology infrastructure.
  • Focus on creating efficient AI solutions, particularly in problem-solving and AI Agent development using pre-trained models and code understanding.
  • Utilize intelligent assistant Product Form to integrate cutting-edge AI capabilities into various business applications.

Technology
Industry
10,001+
Employees
2012
Founded Year

Mission & Purpose

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.