Lead ML Engineer: Scale Data Pipelines for LLMs

Cisco Systems, Inc.; Seattle (WA); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Cisco Systems, Inc. in Seattle/San Jose is seeking a Lead Machine Learning Engineer to build and scale data pipelines powering our AI models. You will work across ML engineering and data engineering, shaping data needs and measuring impact on model performance.

You will design end-to-end data systems, manage human-in-the-loop labeling workflows, and implement automated quality controls to deliver high-fidelity training data for LLMs and AI systems.

Qualifications

• Design, build, and maintain scalable data pipelines for ML/LLM development.
• Architect and manage human-in-the-loop labeling workflows with quality controls.
• Collaborate with researchers and engineers to align data needs with model goals.

Responsibilities

• Design, build, and maintain robust, scalable data pipelines for ML/LLM development.
• Architect and manage human-in-the-loop labeling workflows with quality control.

Skills

Data pipelines

Human-in-the-loop labeling

ML systems

Job description

Cisco Systems, Inc. in Seattle/San Jose is seeking a Lead Machine Learning Engineer to build and scale data pipelines powering our AI models. You will work across ML engineering and data engineering, shaping data needs and measuring impact on model performance.

You will design end-to-end data systems, manage human-in-the-loop labeling workflows, and implement automated quality controls to deliver high-fidelity training data for LLMs and AI systems.