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Nlp Research Scientist Jobs (NOW HIRING)

Whether from published research or their own approaches, our scientists identify and integrate the best science available - all to create the best new NLP capability possible. We are looking for a ...

This role combines applied research, hands-on model development, technical architecture, and practical product impact. The Principal NLP Scientist will lead the design of NLP solutions for named ...

Senior AI Research Scientist COMPANY OVERVIEW Every year, supply chain disruptions cause estimated ... Continuously research and apply the latest techniques in NLP to supply chain problems.

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

... research philosophy and direct portfolio impact. Requirements: * Bachelor, Master's or PhD graduate or candidate in computer science or another quantitative discipline * Experience in NLP ...

As a Research Scientist, you will bridge the gap between cutting-edge research and real-world AI ... Preferred : • Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an ...

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing ...

Research Scientist Position: Full time Location: Carlsbad office About Us: NTENT provides a ... Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

Strong background in machine learning, NLP, or related fields, with publications or equivalent ... Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.

The Research Scientist 2 will lead research, evaluation and development of opportunities that ... NLP, recommender system, network analysis. * Familiarity with clinical concepts related to a broad ...

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NLP Research Scientist information

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$50.5K

$130.1K

$174K

How much do nlp research scientist jobs pay per year?

As of Jul 23, 2026, the average yearly pay for nlp research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an NLP Research Scientist job?

An NLP Research Scientist develops and improves natural language processing (NLP) models to enable machines to understand, interpret, and generate human language. They conduct research, design algorithms, and experiment with deep learning techniques to enhance language-based AI applications. Their work often involves tasks like speech recognition, sentiment analysis, machine translation, and chatbot development. NLP Research Scientists typically collaborate with engineers and data scientists to bring cutting-edge language models to real-world applications.

What are the key skills and qualifications needed to thrive in the Nlp Research Scientist position, and why are they important?

To thrive as an NLP Research Scientist, a strong background in machine learning, deep learning, linguistics, and programming (often with a PhD or equivalent experience in computer science or related fields) is essential. Familiarity with development tools such as Python, TensorFlow, PyTorch, and experience with large-scale language models and natural language processing libraries are highly valued. Critical thinking, problem-solving, effective communication, and collaborative skills are important soft skills in this field. These capabilities are crucial for driving innovation, working effectively in interdisciplinary teams, and delivering real-world NLP solutions.

What are some typical projects or challenges that NLP Research Scientists work on?

NLP Research Scientists often work on projects that involve developing and improving algorithms for text understanding, language generation, information extraction, or sentiment analysis. Common challenges include handling ambiguous or noisy input data, optimizing model performance at scale, and adapting models to new domains or languages. You may collaborate with engineering teams to deploy models in production or partner with product teams to address user needs. This position offers opportunities to work with real-world datasets, publish research, and contribute to advancing state-of-the-art technology in natural language processing.

More about NLP Research Scientist jobs
What cities are hiring for Nlp Research Scientist jobs? Cities with the most Nlp Research Scientist job openings:
What are the most commonly searched types of Nlp Research Scientist jobs? The most popular types of Nlp Research Scientist jobs are:
What states have the most Nlp Research Scientist jobs? States with the most job openings for Nlp Research Scientist jobs include:
Infographic showing various Nlp Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 43% As Needed, 45% Full Time, 1% Part Time, 2% Contract, and 8% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

NLP Research Scientist

OPPO US Research Center

Palo Alto, CA • On-site

Full-time

Posted 7 days ago


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

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.