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LLM R&D Researcher

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Camb
Full Time position
Listed on 2026-06-18
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Bay Area

Full time

Lead LLM R&D, innovate in zero-shot performance and colloquial translation, collaborate, and publish research in top conferences.

Join Camb.ai's pioneering AI team. Lead LLM R&D, integrate tech into products, publish research, and innovate in speech recognition and synthesis.

About

The Internet was made for English speakers. We are redesigning it for the world.

, we're pioneering the future of AI-driven dubbing, localization, speech synthesis and NMT. Powered by our state‑of‑the‑art models in zero‑shot performance transfer and colloquial translation, we're not just innovating; we're setting SOTA benchmarks.

Backed by elite global VCs, partnering with enterprise giants and top influencers, guided by an AI leadership with five $100

Mn ARR successes, we're seeking top‑tier talent to expand our AI research team comprising of individuals from Carnegie Mellon, Apple and more.

Responsibilities
  • Lead research in Language Model (LLM) development, focusing on innovations in zero‑shot performance and colloquial translation.
  • Collaborate with other R&D teams to enhance the efficiency and capabilities of our foundational models.
  • Stay updated with the latest advancements in NLP and LLM.
  • Drive efforts for publishing the research in top‑tier conferences and journals.
Qualifications
  • PhD or equivalent experience in NLP, Deep Learning, or a related field.
  • Experience with popular NLP toolkits and platforms.
  • Strong understanding of current challenges in language models and a passion for innovation.
To Apply

Please send your resume to careers with the subject line "LLM R&D Researcher - [Your Name]".

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