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Machine Learning Engineer (Hybrid)

Machine Learning Engineer (Hybrid)

CiscoMilpitas, CA, United States
6 days ago
Job type
  • Full-time
Job description

Overview

Applications are accepted until 1 / 12 / 2026.

Who We Are : Join us at Cisco to shape the future of enterprise AI. We are building an AI Platform Team focused on creating the next-generation foundation that powers intelligent, secure, and scalable AI solutions across Cisco’s ecosystem. This team is at the forefront of bridging research innovation with real-world application, addressing some of the most fundamental challenges in AI from advancing large language model capabilities and building agentic frameworks to optimizing data pipelines and ensuring trustworthy AI deployment at scale. As part of this pioneering effort, you’ll collaborate with leading AI researchers, data scientists, and engineers to design, develop, and operationalize AI systems that drive measurable business impact for millions of users worldwide. If you’re passionate about solving hard technical problems and shaping how AI transforms enterprise security and networking, this is where you’ll make it happen.

Responsibilities

  • Model Training and Evaluation : Design, fine‑tune, and validate language models for virtual assistants, chatbots, and content recommendation systems.
  • Algorithm Development for Enhanced Language Understanding : Refine algorithms to improve the efficiency, accuracy, and scalability of language models and generation tasks.
  • Experimentation with Emerging Technologies and Methods : Explore new technologies and methodologies in language model development, including experimental frameworks and software tools.

Basic Qualifications

  • Education & Experience : BA / BS with 3+ years or MS in machine learning, proven project portfolio.
  • ML Systems & Algorithms : Strong background in ML engineering, deep learning, and statistical modeling; experience building scalable ML solutions.
  • LLM Expertise : In‑depth knowledge of Transformer‑based architectures (e.g., GPT) and training / fine‑tuning large‑scale models; exposure to Agentic frameworks.
  • NLP Skills : Data preprocessing (tokenization, stemming, lemmatization), handling ambiguity and context, and transfer learning for domain / language adaptation.
  • Data & Evaluation : Skilled in data annotation strategies and model evaluation with appropriate metrics (LLM as judges, RAG and Agent evaluations and so on).
  • Scalability & Deployment : Experience deploying LLMs to production with efficiency, reliability, and scalability.
  • Applications : Applied LLMs in chatbots, content generation, semantic search, and related use cases.

    • Preferred Qualifications

  • Degree in Computer Science, Data Science, Statistics, Computational Linguistics or a related field.
  • Proficiency in programming languages such as Python or R, and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
  • Excellent problem‑solving and communication skills, with the ability to explain sophisticated concepts to non‑technical partners.
  • Proven experience to work collaboratively in multi‑functional teams.

    • Salary

    Starting salary range : $160,100.00 to $207,900.00 (U.S. and / or Canada locations).

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    Machine Learning Engineer • Milpitas, CA, United States