Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Cisco

Machine Learning Engineer

Cisco

Machine Learning Engineer building troubleshooting agents to analyze network failures for Cisco AI Research. Collaborating with multi-disciplinary teams to enhance network AI capabilities.

Posted 7/1/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $165,300 - $209,200 per yearWebsite

Tech Stack

Tools & technologies
PythonRaySpark

About the role

Key responsibilities & impact
  • build dynamic troubleshooting agents that understand networks
  • solve unstructured production log data complexities
  • optimize hardware utilization for data collection
  • automate synthetic datasets creation
  • architect data infrastructure for real-time network failures analysis
  • design and scale automated pipelines transforming raw production logs into insights
  • develop systems generating synthetic data for edge cases learning
  • tackle unique network complexity problems
  • optimize data collection and hardware utilization

Requirements

What you’ll need
  • Bachelor's degree in STEM and 5 + years of relevant experience
  • Master's degree in STEM and 3 + years of relevant experience
  • PhD in STEM +0 years of relevant experience or equivalent related work experience
  • 5 + years of experience in data engineering, machine learning engineering, or related roles
  • Data Pipeline experience, designing and scaling data pipelines for unstructured or semi-structured data, including ingestion, cleansing, and auditing
  • ML Infrastructure experience working with ML data workflows, including dataset creation, labeling, and evaluation
  • Experience with Python and data processing frameworks (e.g., Spark, Beam, Ray)
  • Experience with ML systems and tools, such as training pipelines and model evaluation frameworks
  • Experience with human-in-the-loop ML systems, active learning, weak supervision or self-evolving agents (preferred)
  • Exposure large language models, computer vision, or speech datasets (preferred)
  • Experience building internal tools or platforms used by annotation or operations teams (preferred)

Benefits

Comp & perks
  • medical, dental and vision insurance
  • a 401(k) plan with a Cisco matching contribution
  • paid parental leave
  • short and long-term disability coverage
  • basic life insurance
  • 10 paid holidays per full calendar year
  • 1 floating holiday for non-exempt employees
  • 1 paid day off for employee’s birthday
  • paid year-end holiday shutdown
  • 4 paid days off for personal wellness
  • 16 days of paid vacation time per full calendar year
  • up to 80 hours of unused sick time carried forward from one calendar year to the next
  • Optional 10 paid days per full calendar year to volunteer
  • eligibility to earn annual bonuses
  • grants of Cisco restricted stock units

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data EngineeringMachine Learning EngineeringData PipelineData ProcessingSynthetic Data CreationReal-Time AnalysisNetwork TroubleshootingData CleansingModel EvaluationActive Learning