LLM Algorithm Intern
1 day ago
Job Responsibilities:
Explore state-of-the-art methods to enhance performance and efficiency of AI models (such as LLM, speech models, etc).
Research areas include but are not limited to generative models, NLP, ASR, TTS, etc.
Position Requirements:
Proficient in deep learning algorithms with research in the direction of NLP or speech models; experience in LLM projects and research is a plus.
Familiar with deep learning frameworks (such as PyTorch, TensorFlow) and the Hugging Face Transformers library.
Proficient in Python (conda, Pandas, Flask, FastAPI, etc.) with solid engineering skills.
Familiarity with Docker or Kubernetes is a plus.
Strong learning ability, self-motivation, and ability to keep up with the latest developments in deep learning.
Excellent communication skills and a strong sense of teamwork.
Publications in international top conferences or journals, or experience with TTS-related open-source projects will be an advantage.
Fluency in both English and Mandarin is required.
Preference will be given to Year 3 or Year 4 candidates majoring in Computer Science, Data Engineering, or related fields. A Bachelor’s degree or higher is required.
Must be able to commit to work at least 4 days per week.
Note:
If you do not receive any interview invitation from iQIYI within 7 days, we may not arrange you to participate in the follow-up interview. Thank you for your understanding, attention, and recognition to iQIYI
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