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Overnight Natural Language Processing Engineer Jobs

Conduct research on cutting-edge techniques in natural language processing (NLP) and machine ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

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... natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. • ... in DevOps. CI/CD and testing framework is plus Qualifications : Required : • Experience ...

Sr Software Engineer, Proactive

Santa Clara, CA · On-site

$143K - $189K/yr

As part of this group, you'll work with our machine learning, natural language processing, and ... Engineering, or equivalent proven experience. Minimum Qualifications 4+ years of iOS / macOS ...

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Overnight Natural Language Processing Engineer information

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$60K

$87.7K

$118K

How much do overnight natural language processing engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for overnight natural language processing engineer in the United States is $87,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $106,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Overnight Natural Language Processing Engineer jobs? Cities with the most Overnight Natural Language Processing Engineer job openings:
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:
What states have the most Overnight Natural Language Processing Engineer jobs? States with the most job openings for Overnight Natural Language Processing Engineer jobs include:
Infographic showing various Overnight Natural Language Processing Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $87,739 per year, or $42.2 per hour.
LLM Research Engineer

LLM Research Engineer

Cypress HCM

Mountain View, CA

$90 - $121.86/hr

Full-time

Posted 20 days ago

Be an early applicant


Job description


LLM Research Engineer
Key Responsibilities:
  • Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
  • Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
  • Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
  • Collect, clean, and preprocess large-scale text datasets from diverse sources.
  • Develop and implement data augmentation techniques to improve training data quality.
  • Ensure data is free from bias and aligned with ethical AI standards.
  • Optimize model architecture to improve accuracy, efficiency, and scalability.
  • Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
  • Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud
  • Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
  • Continuously test for bias, fairness, and robustness of language models across diverse datasets.
  • Conduct A/B testing to evaluate model improvements in real-world applications.
    Stay updated with the latest advancements in generative AI, transformers, and NLP research.
  • Contribute to research papers, patents, and open-source projects.
  • Present findings and insights at conferences and internal knowledge-sharing sessions.
Qualifications:
  • 7-10 years experience
  • Advanced degree in CS, Artificial Intelligence, Data Science, or a related field.
  • Strong programming skills.
  • Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).
  • Expertise in natural language processing (NLP) and sequence-to-sequence models.
  • Familiarity with Hugging Face libraries and OpenAI APIs.
  • Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Strong understanding of distributed computing and GPU acceleration using CUDA.
  • Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).
Compensation: $90 - $121.86 per hour
ID#: 36408719

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About Cypress HCM

Sourced by ZipRecruiter

We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Walnut Creek, CA, US

Year founded

2005

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