Join a team focused on advancing the next generation of AI and machine learning technologies. We design, develop, and optimise state-of-the-art deep learning models for natural language processing (NLP) and machine perception applications. Working closely with product, research, and engineering teams, you'll help bring innovative AI solutions from concept to production, enabling scalable, efficient, and reliable intelligent systems that power real-world applications.

As a Machine Learning Engineer, you will design, develop, and optimise advanced machine learning algorithms and neural network architectures for NLP and/or machine perception tasks. You will leverage modern deep learning techniques including transformer-based architectures, convolutional neural networks (CNNs), knowledge distillation, student-teacher models, generative adversarial networks (GANs), and optimisation strategies to improve model accuracy, efficiency, scalability, and production readiness.

In this role, you will:

• Design, develop, and optimize deep learning models for NLP and/or machine perception applications.
• Partner with cross-functional teams to build scalable machine learning solutions and data pipelines.
• Develop new models or enhance existing architectures to improve accuracy, efficiency, and reliability.
• Implement and fine-tune models using industry-standard machine learning frameworks.
• Monitor, evaluate, and optimize model performance for production deployment.
• Improve data quality, automate training workflows, and develop reusable, scalable code.
• Collaborate with engineering teams to integrate and deploy machine learning models across platforms.

• Bachelor's degree with 5+ years of relevant industry experience, or Master's degree with 3+ years of relevant industry experience, or PhD with 0+ years of relevant industry experience.
• Strong experience developing and deploying deep learning models using modern machine learning frameworks (e.g., TensorFlow, PyTorch, JAX, or similar).
• Hands-on experience with neural network architectures, including transformer-based models and convolutional neural networks.
• Experience with machine learning model training, evaluation, optimization, and production deployment.
• Proficiency in Python and software development best practices.
• Experience working with data preprocessing, feature engineering, and model performance evaluation.

• Experience working with Large Language Models (LLMs), Generative AI, multimodal AI, or foundation models.
• Experience optimizing models for inference efficiency, scalability, latency, and resource utilization.
• Knowledge of distributed model training, model compression, quantization, or edge AI deployment.
• Experience building production-scale machine learning pipelines and MLOps workflows.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you.