Senior Machine Learning Engineer, AISWP (Hybrid)

Cisco
San Jose, Seattle
Workplace: HybridFull timeUSD 203,000 - 258,600 annuallyFunction: Data Science & Machine LearningSkills: ["Technical leadership","Mentoring","Communication","Cross-functional collaboration"]

Build and improve data and ML systems that power Cisco’s LLMs and AI models, with a focus on scaling high-quality training and evaluation data. Own end-to-end data pipelines for training, post-training, evaluation, and continuous improvement. Create and enhance human-in-the-loop labeling workflows and synthetic datasets, and develop automated metrics to monitor label quality, duplication, contamination, coverage, bias, and distribution shifts. Translate research prototypes into production-ready systems.

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FursaFursa
Cisco
Cisco
1 week ago

Senior Machine Learning Engineer, AISWP (Hybrid)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and improve data and ML systems that power Cisco’s LLMs and AI models, with a focus on scaling high-quality training and evaluation data. Own end-to-end data pipelines for training, post-training, evaluation, and continuous improvement. Create and enhance human-in-the-loop labeling workflows and synthetic datasets, and develop automated metrics to monitor label quality, duplication, contamination, coverage, bias, and distribution shifts. Translate research prototypes into production-ready systems.
Location: San Jose, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, build, and own end-to-end data pipelines for ML and LLM training, post-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 continuously measure dataset quality (label quality, duplication, contamination, coverage, bias, and distribution shifts) and use results to drive improvements.

Pay and Benefits

Salary: USD 203,000 - 258,600 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeaveLong-term DisabilityBasic LifePaid HolidaysPaid LeaveSick TimeRsus

Key Requirements

  • •Bachelor’s degree in a STEM field with 7+ years of relevant experience, or Master’s degree with 4+ years, or PhD with 1+ years of industry/academic research experience.
  • •2+ years of hands-on experience building, curating, and scaling datasets for machine learning training and evaluation.
  • •3+ years of professional programming experience using Python, C++, or Go in a production or research environment.
  • •3+ years of experience using machine learning frameworks such as PyTorch, TensorFlow, or equivalent technologies to develop, train, evaluate, and deploy models.
  • •Experience designing scalable human-in-the-loop labeling and improving dataset quality through evaluation and feedback.
Education:
Skills:Technical leadershipMentoringCommunicationCross-functional collaboration
Tech Stack:PythonC++GoPyTorchTensorFlowSparkRayBeamLLMsRLHFSFT

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
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