Machine Learning Engineering Technical Leader

Cisco
Seattle
Workplace: RemoteFull timeUSD 234,400 - 296,600 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Scientific rigor","Mentorship","Cross-functional collaboration","Technical documentation","Benchmarking"]

Lead end-to-end research and deployment of next-generation AI systems for intelligent code generation, including model design, evaluation, and production rollout. Define the scientific roadmap for agentic GenAI that can reason, plan, self-correct, and use tools. Advance DSL-aware code synthesis, and optimize distributed training/inference for performance, latency, and cost. Partner with engineering and product to deliver safe, high-impact customer capabilities while mentoring a research organization and shaping long-term AI strategy.

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FursaFursa
Cisco
Cisco
1 day ago

Machine Learning Engineering Technical Leader

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Last checked: 44 minutes agoStatus: Live

Job Summary

Lead end-to-end research and deployment of next-generation AI systems for intelligent code generation, including model design, evaluation, and production rollout. Define the scientific roadmap for agentic GenAI that can reason, plan, self-correct, and use tools. Advance DSL-aware code synthesis, and optimize distributed training/inference for performance, latency, and cost. Partner with engineering and product to deliver safe, high-impact customer capabilities while mentoring a research organization and shaping long-term AI strategy.
Location: Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Own the full lifecycle of research and deployment for next-generation AI systems for intelligent code generation, from model design and evaluation to production rollout.
  • •Define the scientific roadmap for agentic GenAI, enabling models to reason, plan, self-correct, and integrate with tools and runtime environments.
  • •Advance DSL-aware code synthesis to shape future developer experiences across interactive and automation-driven workflows.
  • •Drive efficiency and scalability of distributed training and inference pipelines, balancing performance, latency, and cost without compromising accuracy or reliability.
  • •Mentor and elevate a research organization, partnering with engineering and product to translate AI breakthroughs into safe, high-impact customer capabilities.

Pay and Benefits

Salary: USD 234,400 - 296,600 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid ParentalLong-term DisabilityBasic LifePaid Holidays

Key Requirements

  • •PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field with 5+ years post-doctoral/industry research experience, or a Master’s with 10+ years progressively responsible research experience.
  • •3+ years developing Large Language Models (LLMs) for program synthesis or formal languages.
  • •2+ years experience in multi-step planning or agentic AI for developer workflows.
  • •3+ years experience with Python and deep learning frameworks such as PyTorch or TensorFlow.
  • •3+ years translating research prototypes into production systems, including model deployment, optimization, and evaluation.
Experience:AI/ML researchLarge Language Models (LLMs)Agentic AICode generation
Education:PhD / Doctorate in Computer Science, Machine Learning, Artificial Intelligence, or related technical field
Skills:Scientific rigorMentorshipCross-functional collaborationTechnical documentationBenchmarking
Tech Stack:PythonPyTorchTensorFlowLLMsGenAISQLCode-LLaMACodeT5StarCoderGPTLoRAQuantization

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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Glassdoor: 4.0
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