Sr AI/ML Engineer - CX

Cisco • San Jose, CA

11h

About The Position

CX AI Incubation team is part of CX and is focused on identifying and building breakthrough emerging solutions to support the diverse requirements of the CX organization and our customers.
Are you ready to be at the forefront of AI innovation? At Cisco CX, you will design and develop transformative AI capabilities and AI-driven solutions that redefine how customers interact with technology. From delivery intelligence to network automation and intelligence on edge, your work will power next-generation AI applications that make a tangible difference.
You will collaborate with passionate experts to build scalable, responsible, and cutting-edge AI models, including Large and Small Language Models, leveraging the latest advances in generative AI, various post training techniques including reinforcement learning, and more. This is your chance to push the boundaries of AI technology and accelerate your career in a vibrant, inclusive environment that celebrates creativity and impact.
Join Cisco’s Customer Experience (CX) AI Incubation team to design and develop innovative AI-driven solutions that transform customer engagement and operational efficiency. You will work on cutting-edge use cases including delivery intelligence, knowledge management, network test automation, infrastructure testing, intelligence on edge, and DevOps automation. This role requires strong expertise in AI/ML, software development, and a passion for applying AI to real-world challenges.
Join us to shape the future, cultivate lasting relationships, and ensure every interaction counts.

Requirements

• Bachelor’s degree in computer science, Machine Learning, Mathematics, Statistics, or related field with 6+ years of software engineering experience, or Master’s degree in a related field with 3+ years of experience.
• Experience in Python, Java or C++, with experience in model development, training, and deployment.
• Experience with leading machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn along with data manipulation tools essential for the AI lifecycle.
• Experience developing Large Language Models (LLMs), Natural Language Processing (NLP), or Generative AI techniques.
• Experience working in cross-functional teams, deliver results in fast-paced environments, and effectively communicate technical concepts.

Nice To Haves

• Experience working on (SLM) Small Language Model development.
• Experience with Cisco networking and security technologies
• Knowledge of network automation and AI-based anomaly detection.
• Familiarity with AI-driven DevOps automation and model observability.
• Exposure to edge computing environments.
• Experience on various AI cloud platforms such as AWS SageMaker, Google Cloud AI Platform, Azure ML or similar.
• Strong written and verbal communication skills, with the ability to contribute to design discussions and documentation.
• Excellent problem-solving skills, thinking outside of the box!

Responsibilities

• Contribute to the design and development of AI–ML based services collaborating with product management and engineering teams to deliver impactful, scalable AI solutions.
• Analyze data, develop, validate, and deploy machine learning models that drive measurable improvements in operational efficiency and automation.
• Build and fine-tune model architectures for natural language and perception-based tasks, applying best practices in model optimization and evaluation.
• Work with techniques such as transformer architecture, distillation, and reinforcement learning to improve model performance, scalability, and reliability.
• Support the training and fine-tuning of Large and Small Language Models (LLMs and SLMs) for domain- and task-specific applications.
• Collaborate on the development and deployment of AI agents and applications, ensuring responsible, safe, and explainable AI behavior.
• Stay current with emerging AI technologies and research to continuously improve solution quality and technical capability.
• Contribute to best practices in model development and deployment.

Benefits

• U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance.
• Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
• U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer
• For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level