The Cisco AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning. We are seeking a strong Machine Learning Engineer who can make a big difference in the cybersecurity industry.
Your ImpactYou are an accomplished and visionary AI Researcher with a track record of leading teams and architecting machine learning solutions that have made a significant impact. You are deeply passionate about machine learning with a proven track record of optimally developing and implementing models that address real-world problems.
What You Will Do Model Training & Evaluation: Full cycle of training, fine-tuning, and validating LLMs for virtual assistants, chatbots, and recommendation systems. Algorithm Development: Enhance efficiency and accuracy in natural language understanding and generation. LLMs in Cybersecurity: Apply models for threat analysis, detection, and automated security responses. Deployment Strategy: Partner with engineering teams to ensure scalable, reliable ML model deployment. Documentation & Standards: Define best practices and maintain clear records of models, pipelines, and metrics. Innovation: Explore emerging technologies, tools, and methods in language model development. Mentorship & Collaboration: Guide team members and work cross-functionally for cohesive project delivery.Basic Qualifications Education & Experience: BA/BS or MS with 8+ years 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. Applications: Applied LLMs in chatbots, content generation, semantic search, and related use cases. Data & Evaluation: Skilled in data annotation strategies and model evaluation with appropriate metrics. Scalability & Deployment: Experience deploying LLMs to production with efficiency, reliability, and scalability.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 partnersProven experience to work collaboratively in multi-functional teams#WeAreCisco#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
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#CiscoAIJobsCisco is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.