Technical Lead, Machine Learning Engineering (AI Canvas)

Cisco
United States
Workplace: HybridFull timeUSD 216,300 - 280,800 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Innovation","Technical leadership"]

Design and refine machine learning models using neural-network architectures for NLP and machine perception, building predictive models that meet accuracy, efficiency, scalability, and reliability goals. Lead translation of complex problems into production code, guide model evaluation with cross-validation and ensembles, and help innovate model architectures. Drive best practices for integrating and deploying models using CI/CD, including scaled deployment across iOS/Android, browsers, and cloud/servers.

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FursaFursa
Cisco
Cisco
1 day ago

Technical Lead, Machine Learning Engineering (AI Canvas)

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

Job Summary

Design and refine machine learning models using neural-network architectures for NLP and machine perception, building predictive models that meet accuracy, efficiency, scalability, and reliability goals. Lead translation of complex problems into production code, guide model evaluation with cross-validation and ensembles, and help innovate model architectures. Drive best practices for integrating and deploying models using CI/CD, including scaled deployment across iOS/Android, browsers, and cloud/servers.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead translation of complex, open-ended issues into production code and ML models, and communicate feasibility to program managers.
  • •Drive model design discussions for high-impact ML models across multiple products and teams, including custom and cutting-edge research architectures.
  • •Innovate model architectures by introducing new paradigms or adapting existing approaches in novel ways.
  • •Define how models are built by specifying layers and locations, addressing business problems and exploring advanced architectures.
  • •Establish best practices for model integration and deployment using CI/CD, and guide deployment of ML models at scale across iOS/Android, browsers, and cloud/servers.

Pay and Benefits

Salary: USD 216,300 - 280,800 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid ParentalLife InsuranceRsusPaid HolidaysPaid Leave

Key Requirements

  • •Bachelor’s + 8 years, or Master’s + 6 years, or PhD + 3 years of related experience.
  • •Design and develop algorithms and neural network architectures for natural language processing and/or machine perception tasks.
  • •Translate complex, open-ended problems into functional production code and ML models while communicating feasibility to program managers.
  • •Develop and integrate data splitting and custom optimization strategies to improve model performance.
  • •Design and execute comprehensive model evaluation, including cross-validation and ensemble methods.
Experience:Machine learningNatural language processingComputer vision
Education:Bachelor's
Skills:CommunicationProblem-solvingInnovationTechnical leadership
Tech Stack:Neural networksNatural language processingMachine perceptionConvolutional modelsTransformer-based modelsStudent-teacher modelsDistillationGenerative-adversarial networks (GANs)CI/CDIOSAndroidBrowsersCloudServersCross-validationEnsemble methods

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
Glassdoor
Glassdoor: 4.0
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