Sr. Large Language Model Researcher (LLM)

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Job Description

You are someone with:

  • Deep Knowledge of LLM Architecture: Comprehensive understanding of the architecture underlying large language models, such as Transformer-based models, including GPT (Generative Pre-trained Transformer), and their variants.
  • Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models for specific applications or domains.
  • Data Preprocessing for NLP: Skills in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding.
  • Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs.
  • Handling Ambiguity and Context in Text: Ability to design models that effectively handle ambiguities, nuances, and context in NLP.
  • Innovative Application of LLMs: Experience in creatively applying LLM technology in diverse areas such as chatbots, content creation, semantic search, and more.
  • Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics.
  • Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment.

What You Will Do

  • Model Training, Optimization, and Evaluation: This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, automated chatbots, content recommendation systems, etc.
  • Algorithm Development for Enhanced Language Understanding: Focusing on the development or refinement of algorithms to improve the efficiency and accuracy of language models and understanding and generation tasks.
  • Applying LLMs to Cybersecurity: Tailoring language models for cybersecurity purposes, such as analyzing threat intelligence, detecting cyber threats, and automating responses to security incidents.
  • Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
  • Mentoring and Collaboration: Providing mentorship to team members and working collaboratively with disparate teams to ensure cohesive development and implementation of language model projects.

Basic Qualifications

  • 5+ years’ experience writing code using Python, Java and/or C++.
  • 3+ years’ experience in natural language processing tools, including some of the following:
  • working with large language models
  • text classification
  • sentiment analysis
  • natural language generation
  • BA / BS degree with 4+ years' experience (or) MS degree with 2+ years of experience as a machine learning engineer or researcher.

Preferred Qualifications

  • A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms.
  • Knowledge and practical experience in NLP techniques and tools, including working with language models, text classification, sentiment analysis and natural language generation.
  • Experience with frameworks including TensorFlow, PyTorch, or Keras.
  • Skills in data preprocessing, cleaning, and analysis, with the ability to work with large datasets and extract meaningful insights.
  • A background in conducting research, designing experiments, publishing papers, and keeping current with the latest advancements in LLMs.
  • The capacity to think critically and tackle complex, innovative problems in the field.
  • A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI.

Why Cisco Secure

WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us!

We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.

Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.

We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your customer focus, and your desire to change things up!

What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your experience and explore your interests. Because when you succeed, we succeed!

Cisco Secure offers an environment that combines cool, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with. - Chief of Staff, Engineering

Join Cisco Secure - Be You, With Us!

Company Info.


Cisco Systems, Inc., is a leading American multinational conglomerate specializing in digital communications technology. Headquartered in San Jose, California, the corporation engages in the development, manufacturing, and sale of networking hardware, software, telecommunications equipment, and various high-technology services and products.

  • Industry
    Telecommunications,Computer software,Computer hardware
  • No. of Employees
  • Location
    San Jose, CA, USA
  • Website
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