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Machine Learning Researcher
OpenReq
- Cupertino, California, United States
- Cupertino, California, United States
About
Sohu enables entirely new research directions and products. When our chips come out, these use cases need to already be mature and visceral. Whether real-time video, agents, speculative decoding, or new tree search algorithms, we must create the market for our hardware. In this role, you will lead efforts on research directions that trade compute for improved understanding and speed, particularly with agents and new search techniques.
Representative projects
Combine multi-agent with RAG to improve the quality of QA
Evaluate new system on standard benchmark
Design new and verifiable benchmark for agent reasoning
Design LLM content understanding based recommendation systems
You may be a good fit if you have:
Past projects or publications with substantial impact in ML and/or CV (quality > quantity)
Strong hands‑on engineering skills, particularly with python, pytorch, CUDA, DDP/FSDP
Deep understanding of open and closed source model architectures and open source libraries for transformer training and inference
Familiarity with LlamaIndex, LangChain, MetaGPT, CoT, ToT, and beam search
Ability to think outside the box and make tradeoffs considering feasibility, quality, and time‑to‑ship of a project
Strong candidates may also have experience with:
Knowledge graphs
Name entity recognition
Tool calling and coder LLMs
SWE bench & SWE agent
We encourage you to apply even if you do not believe you meet every single qualification.
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Languages
- English
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