Senior ML Engineer - Data Pipelines for LLMs

Cisco Systems, Inc.; San Jose (CA); Hybrid; USD 203,000 - 259,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with Cisco matching

Paid parental leave

Job summary

Cisco AI Research is seeking a Senior Machine Learning Engineer to build data and ML systems powering our LLMs and AI models. You will design scalable data pipelines, optimize labeling workflows, and develop synthetic data and evaluation methods to improve model performance.

You will work closely with researchers and engineers to determine data needs, create efficient data, and translate research ideas into robust production systems. The role is hybrid with multiple locations, including San Jose.

Qualifications

• 7+ years of relevant experience in STEM field.
• 2+ years building, curating, and scaling datasets for ML training and evaluation.
• 3+ years of professional programming with Python, C++, or Go in production or research.
• 3+ years of experience using ML frameworks such as PyTorch, TensorFlow.

Responsibilities

• Design, build, and own end-to-End data pipelines for ML and LLM training, evaluation, and continuous model improvement.
• Build and improve human-in-the-loop data labeling pipelines, including data collection, task generation, annotation workflows, quality control, and feedback integration.
• Develop scalable approaches for synthetic data generation, augmentation, filtering, and validation to improve dataset quality, diversity, and coverage.
• Apply LLMs and other ML techniques to automate data generation, labeling, filtering, scoring, and evaluation.
• Develop systems and metrics to measure dataset quality, including label quality, duplication, contamination, coverage, bias, and distribution shifts.

Skills

Python

C++

Go

PyTorch

TensorFlow

Education

Bachelor's degree in STEM with 7+ years

Master's degree in STEM with 4+ years

PhD in STEM or relevant field with 1+ years

Tools

Spark

Ray

Beam

Job description

Cisco AI Research is seeking a Senior Machine Learning Engineer to build data and ML systems powering our LLMs and AI models. You will design scalable data pipelines, optimize labeling workflows, and develop synthetic data and evaluation methods to improve model performance.

You will work closely with researchers and engineers to determine data needs, create efficient data, and translate research ideas into robust production systems. The role is hybrid with multiple locations, including San Jose.