NLP Research Scientist

On-siteMidResearch Scientistposted 2mo ago

✦Role summaryAI-generated

Mid-level Research Scientist role focused on developing 1B-parameter LLMs with specialized architectures for long-context memory and retrieval-augmented generation, while bridging AI research with hardware platforms like AI Glass/Earphones, requiring expertise in multimodal AI, synthetic data pipelines, and benchmarking techniques.

Skills required

LLMs Multimodal ai Generative AI Long context memory architectures In-context learning Synthetic data pipelines Benchmarking methods Llm-as-judge Hardware-software co-design Conference publishing AI Data pipelines Natural language processing Python RAG

About this role

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

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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.