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Entry Level 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 ...

... 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 ...

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.

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Entry Level Nlp Research Scientist information

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$50.5K

$130.1K

$174K

How much do entry level nlp research scientist jobs pay per year?

As of Jul 26, 2026, the average yearly pay for entry level 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 are some common challenges faced by entry-level NLP research scientists when transitioning from academia to industry?

Entry-level NLP research scientists often find the transition from academia to industry challenging due to differences in project timelines, expectations, and collaboration styles. While academic research emphasizes novelty and long-term investigations, industry projects typically prioritize practical impact and faster iteration cycles. Adjusting to working in cross-functional teams with engineers, product managers, and stakeholders can require effective communication and adaptability. Additionally, managing real-world data constraints and scalability issues is crucial in industry settings. Embracing these changes and being open to learning from colleagues with diverse backgrounds will help ease the transition and contribute to professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level NLP Research Scientist, and why are they important?

To thrive as an Entry Level NLP Research Scientist, you need a strong background in computer science, mathematics, and linguistics, typically supported by a relevant degree (such as in Computer Science or Computational Linguistics). Familiarity with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and NLP libraries (such as spaCy or NLTK) is essential. Strong analytical thinking, creativity, and effective communication skills help you collaborate and innovate in research settings. These competencies enable you to design, implement, and evaluate NLP models that advance language technologies.

What does an Entry Level NLP Research Scientist do?

An Entry Level NLP (Natural Language Processing) Research Scientist works on developing and improving algorithms that allow computers to understand, interpret, and generate human language. They typically assist with data collection, preprocessing, model training, and evaluation under the guidance of senior researchers. Tasks may include literature reviews, experimental design, and contributing to research papers or technical documentation. Their work helps advance technologies like chatbots, voice assistants, and machine translation systems.

What is the difference between Entry Level Nlp Research Scientist vs Data Scientist?

AspectEntry Level Nlp Research ScientistData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related field; knowledge of NLP toolsBachelor's or Master's in Data Science, Statistics, or related field; programming skills
Work EnvironmentResearch-focused, academic or R&D labs, tech companiesBusiness analytics, data analysis, product development teams
Industry UsageAI research, NLP product developmentBusiness intelligence, marketing, finance, tech

Entry Level Nlp Research Scientists focus on developing and improving NLP algorithms, often in research or R&D settings. Data Scientists analyze data to inform business decisions across various industries. While both roles require programming skills and a background in data or language processing, Nlp Research Scientists are more research-oriented, whereas Data Scientists focus on applying data analysis to solve business problems.

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 Entry Level Nlp Research Scientist jobs? States with the most job openings for Entry Level Nlp Research Scientist jobs include:
Infographic showing various Entry Level Nlp Research Scientist job openings in the United States as of June 2026, with employment types broken down into 66% Full Time, 17% Contract, and 17% Nights. Highlights an 76% Physical, 4% Hybrid, and 20% 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 9 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.