22 hours ago
Base Salary
$257k - $333k/yr
Responsibilities
- Architect, build, and deliver foundational AI services and APIs for enterprise-scale customer experience platforms.
- Lead model selection, fine-tuning, inference optimization, evaluation, agentic infrastructure, and multi-tenant API design.
- Take machine learning systems from research or prototype through reliable production deployment.
- Build regression gates, judge calibration, drift detection, and statistical evaluation processes for shipped AI behavior.
- Package and deliver AI services across cloud, on-premises, air-gapped, CPU, NPU, and small-GPU environments.
- Own full-lifecycle technical projects and concurrent workstreams while driving supported enterprise-grade delivery.
- Mentor senior engineers and applied researchers through technical depth and influence rather than positional authority.
- Collaborate with product, security, and executive leadership on architecture, responsible AI governance, and engineering standards.
Requirements
- Bachelor's degree with 11+ years of related experience, or a master's degree with 7+ years of related experience.
- Machine learning experience covering model development, training, adaptation, and evaluation.
- Experience with Python and modern machine learning frameworks such as PyTorch or JAX.
- Experience taking machine learning work from research or prototype through production.
- Production experience in model serving and inference, generative AI evaluation systems, agentic/orchestration infrastructure, or AI platform services and APIs.
- Experience leading full-lifecycle projects.
- Preferred experience architecting shared AI/ML inference platforms and APIs, including API contracts, versioning, and backward compatibility.
- Preferred hands-on experience with LLM/SLM serving optimization, fine-tuning, distillation, transfer learning, PEFT/LoRA, generative evaluation, agentic workflows, RAG architectures, hybrid and air-gapped deployments, MLOps, model registries, experiment tracking, telemetry, observability, enterprise security, and responsible AI compliance.
- Preferred external technical contributions through patents, peer-reviewed publications, open-source AI projects, or conference presentations.
Benefits
- Hybrid work arrangement requiring 3 days per week in the San Jose, California office.
- Medical, dental, and vision insurance, 401(k) with Cisco matching contributions, paid parental leave, disability coverage, and basic life insurance, subject to plan eligibility.
- Potential eligibility for Cisco restricted stock unit grants.
- Paid holidays, floating holiday, birthday day off, year-end shutdown, personal wellness days, vacation or flexible time off, sick time, and family emergency leave.
- Optional 10 paid volunteer days per year.
- Eligibility for annual bonuses for non-sales roles.
Categories
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.