Swarm Machine Learning Engineer (Remote)

The application window is expected to close on 10/15/2025.

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

AI at Cisco

With Cisco, you're not just embracing the future - you're helping create it! We are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are innovating ethical AI products and infrastructure that enable our customers to stay ahead of cyberattacks, predict and prevent network outages, and make team meetings more productive. Our extensive data sets and broad customer reach means limitless possibilities for you to build impactful AI solutions that solve a wide array of real-world problems. Join us at Cisco where you will innovate with top AI experts and be a part of our mission to power an inclusive future for all.

AI in the Business Unit

The Cisco Security group includes such industry leading security suites and products as Hypershield, Cisco Secure Access, Identity Intelligence, Duo, XDR, Cisco Security AI, Talos, and more. We are using machine learning and GenAI across our products to simplify security, prevent sophisticated attacks, and ensure the secure use of large language models (LLMs).

In Security, we are building AI-enhanced cybersecurity for better outcomes, combining AI with the breadth of Cisco telemetry across the network, private and public cloud infrastructure, applications, internet, email, and endpoints. With Security AI, we make it simple to use natural language instruction and interact with GenAI – from deploying and managing firewall policies to str eamlining incident response. With Duo, we are creating extensive machine learning and analytics to detect and block suspicious users. We are harnessing our rich security expertise in conjunction with AIML to transform the way we assist, augment, and automate security efforts for our customers! We need your help to tip the scale in favor of defenders and enable enterprises everywhere to cancel bad actors.

Meet the Team

You will be a part of our Cisco Security Innovation team within the Security Business Group. This team incubates ideas that turn into the future of Cisco’s innovative security solutions. You will play a pivotal role in driving scalable performance AI models to improve the efficacy of threat detections. You will bring your expertise in deep learning and large transformer models conduct research, design and development of state-of-the-art ML/AI techniques applicable to threat detection, including anomaly detection, behavioral analysis, signature generation, and predictive modeling. The techniques are focused toward realtime efficacy and evaluating scalable architectures.

Your Impact

• Leverage modern AI/ML techniques to improve the accuracy of threat detection solutions and automate/accelerate manual analysis processes.
• Develop and implement advanced machine learning models across different hardware environments (including cloud and network edge); models may include adapting neural network architectures or creating novel ones to address challenges.
• Develop methods to identify performance metrics and efficacy of the models especially of the hardware accelerated models.
• Analyze and extract significant patterns in high-dimensional data spaces using advanced techniques.
• Implement robust software systems for integrating and maintaining machine learning models.
• Collaborate with software engineering teams to design primary deployment strategies for machine learning models into security systems.
• Establish and maintain best practices for machine learning and security operations, including clear documentation of models and procedures.

Minimum Qualifications:

• Bachelor’s degree or higher in Computer Science or related field
• 5+ years of related security experience, specifically in the areas of network security environments
• Experience with multi-threaded environments
• Experience with Linux operating systems and embedded Linux environments

Preferred Qualifications :

• Master’s or PhD degree in Computer Science, Computer Engineering, or a related field
• Experience with state-of-the art machine learning techniques and libraries
• Debugging skills in complex hardware/software
• Experience with software development environments and version control systems (e.g. Git)
• A strategic problem solver in the areas of threat detection and analysis
• Experience optimizing machine learning or deep learning models for specific hardware
• Familiarity with hardware acceleration libraries (e.g., Morpheus, cuDNN, TensorRT, OpenVINO).
• Experience with containerization technologies (e.g., Docker, Kubernetes) in the context of hardware-specific deployments
• Knowledge of cybersecurity concepts and threat detection methodologies

Why Cisco?

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. Simply put - we power the future.

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.

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