NLP Research Scientist

OPPO US Research Center

$100K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master/Ph.D. in AI, Computer Science, or related discipline specializing in NLP/AI
  • Hands-on experience in developing generative AI and large language models (LLMs)
  • Expertise in training and optimizing LLMs for cloud and edge environments
  • Proficiency in programming with Python
  • Familiar with concepts like LLM context, memory, and retrievability

Responsibilities

  • Develop LLM models with around 1 billion parameters, focusing on long context memory architecture
  • Create pipelines for synthetic and real data for LLM training
  • Establish effective benchmarking methods, such as LLM-As-Judge
  • Collaborate with engineers and product teams to integrate research into products
  • Publish findings at prestigious AI conferences like ICLR and NeurIPS

Benefits

  • Competitive salary range with bonus and long-term incentive opportunities
Full Job Description
OPPO Research Center is seeking a passionate and innovative Research Scientist to advance our next-generation AI hardware platforms-including AI Glass/Earphone/etc.-through cutting-edge generative AI research. You will drive the design, training, and deployment of multimodal intelligence models that seamlessly integrate language, vision and action. As part of our collaborative team, you will co-design algorithms and hardware, translate research into real-world products, and publish at top-tier AI conferences.

Requirements

Key responsibilities:
  • Develop LLM model with parameter number around 1 billion, with special focus on developing innovative LLM architectures for long context memory, and in-context retrieve and generation
  • Develop synthetic data pipeline/creating real data pipeline for LLM training
  • Develop effective methods for benchmarking, e.g., LLM-As-Judge
  • Collaborate closely with hardware engineers, software developers, and product teams to integrate research prototypes into production systems
  • Publish research findings in premier AI conferences (e.g., ICLR, NeurIPS)

Qualifications

Minimum:
  • Master/Ph.D. in AI, Computer Science, or a related discipline, with a focus on NLP/AI
  • Strong background in generative AI, with hands-on experience developing LLM
  • Practical expertise in training and optimizing large language models for both cloud and edge inference
  • Excellent programming skills in Python

Preferred:
  • Deeply knowing the concept of LLM context, memory, RAG, and has related experiences in those topics
  • Has the experience to build LLM training dataset, and benchmark, with such proved record in publications
  • Experience with large language model with parameter number around 1 billion, knowing the tradeoffs in such models
  • Contributions to open-source AI projects
  • Strong collaborative and communication skills

Benefits

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

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