# Principal Machine Learning Engineer

**Company**: Cisco
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $296,300.00 to $374,800.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Principal-Machine-Learning-Engineer_2025206-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5e2645f1-0b1

## Description

We are seeking a Principal Machine Learning Engineer to join our CX AI Incubation and Agents team at Cisco. As a hands-on technical leader, you will design and build AI systems for production scale, serving as the architectural and technical authority for designing, building, and scaling the AI foundation powering Cisco IQ and evolving customer needs.

**Your Impact** You will tackle ambiguous, high-impact challenges and lead cross-functional engagements from architecture and design through production and customer deployment. Your responsibilities will include:

- Foundational AI Platform Architecture: Design and build robust, multi-tenant AI services with scalable APIs, versioning, backward compatibility, and quota management across cloud, on-premises, and air-gapped environments.

- AI Technology Strategy and Execution: Select, evaluate, and implement models, frameworks, inference runtimes, and orchestration technologies. Translate emerging capabilities into production architectures optimized for scalability, latency, memory, and compute across GPU, CPU, and edge environments.

- AI Cost Optimization and Standards: Design and implement cost optimization across workloads by improving token efficiency, model selection, inference performance, and compute utilization. Establish measurable engineering standards for cost efficiency.

- Technical Governance & Leadership by Influence: Lead architecture and design reviews, resolve complex technical trade-offs, mentor senior engineers, and influence platform direction through hands-on technical leadership and execution.

**Minimum Qualifications:**

- Bachelors + 14 years of related experience, or Masters + 11 years of related experience, or PhD + 7 years of related experience.

- Experience developing, fine-tuning, and optimizing models in Python, PyTorch or JAX, using techniques such as PEFT or LoRA, quantization, and distillation.

- Experience architecting and deploying production LLM and/or SLM inference runtimes optimized with continuous batching, KV-cache management, or speculative decoding.

- Experience architecting and deploying production RAG systems and agentic workflows using vector databases.

- Experience designing and implementing automated evaluation frameworks for AI systems, including golden test datasets, LLM-as-a-judge methodologies, drift detection, and/or CI/CD regression gates.

- Experience architecting production AI platform APIs featuring robust quota management, versioning, and deployment across hybrid cloud and air-gapped environments.

**Preferred Qualifications:**

- Research & Thought Leadership: Recognized track record of industry contributions via publications, patents, conference presentations, or core contributions to open-source AI/ML projects.

- Edge & Resource-Constrained Inference: Hands-on experience optimizing inference workloads for resource-constrained compute environments (CPU, NPU, small GPU footprints, and on-prem hardware appliances).

**What We Offer:**

- Salary range: $296,300.00 to $374,800.00

- 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.

## Skills

### Required
- Python
- PyTorch
- JAX
- PEFT
- LoRA
- quantization
- distillation
- LLM
- SLM
- RAG
- vector databases
- CI/CD regression gates

### Nice to have
- publications
- patents
- conference presentations
- open-source AI/ML projects
- Edge & Resource-Constrained Inference

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Principal-Machine-Learning-Engineer_2025206-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)