C

Cisco

Makes networking gear and security software

Distinguished Machine Learning Engineer - AISWP

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A Bachelor's degree in computer science or a related field with 17 or more years of total software engineering experience, a Master's degree with 14 or more years, or a PhD with 10 or more years.
  • At least 5 years of experience operating at Principal level or above, with documented influence on technical strategy across at least three distinct product organizations.
  • At least 2 years of experience designing, developing, and deploying LLM-based systems in production serving at least 10,000 daily active users or processing 500 or more requests per second.
  • Successfully architected and shipped at least one production-grade multi-agent system using frameworks such as LangGraph or Temporal, or an equivalent complex state-machine stack.
  • At least 10 years of deep experience writing production-grade code in Go, Python, or Rust in hyperscale environments, such as architectures supporting more than 100 microservices or petabyte-scale data pipelines.
  • Experience designing and implementing at least three critical safety or observability features in production, such as indirect prompt injection defense, human-in-the-loop gates, or automated rollbacks.

Responsibilities

  • Define and implement multi-year technical strategies for agentic systems, ensuring unified architectural alignment across Cisco's product portfolio and global engineering organizations.
  • Serve as the primary internal and external technical authority, negotiate critical architectural decisions with senior executives, and drive adoption of industry standards such as the Model Context Protocol.
  • Architect complex systems using hybrid and graph-based retrieval to create scalable solutions for cross-product telemetry, root cause analysis, and automated remediation.
  • Establish company-wide standards for AI safety, observability, and compliance, ensuring agent-based autonomous actions remain measurable, auditable, and resilient to production risks.
  • Mentor Principal- and Senior-level leaders, foster engineering innovation, and represent Cisco's technical excellence at industry forums, standards bodies, and global conferences.

Desired Qualifications

  • Experience establishing AI governance frameworks, such as NIST AI RMF or the EU AI Act, and ensuring enterprise compliance across the model lifecycle.
  • Expertise in advanced post-training methodologies, including reinforcement learning from verifiable rewards, reinforcement learning from human feedback, direct preference optimization, and supervised fine-tuning.
  • Deep knowledge of inference-serving optimizations, such as key-value or prefix caching, continuous batching, and model-routing strategies.
  • Contributions to the external technical community, including published research, patents, or active leadership roles in industry open-source standards bodies.
  • Experience in AIOps or network management, specifically creating correlated context across disparate network and cloud infrastructure layers.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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