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Software Engineering Manager II, AI​/ML GenAI, Google Cloud Compute

Job in Kirkland, King County, Washington, 98034, USA
Listing for: Towards AI, Inc.
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 207000 - 301000 USD Yearly USD 207000.00 301000.00 YEAR
Job Description & How to Apply Below
# Software Engineering Manager II, AI/ML GenAI, Google Cloud Compute## Google Published 26 Jun 2026### Share this job Kirkland, WA, USA
207K - 301K USD Annual Freelancer
27500 - 275000 people## Role Highlights### Languages used

PythonC++Java Java Script ### Key skillsAINLPInformation Retrieval Computer Vision Fine Tuning Model Optimization Computer ScienceUIData Processing System Design Technical LeadershipLLMsMachine Learning Cloud Infrastructure Deployment Debugging Multimodal Modelling Ph DSearch

Security### Tools, Libraries and FrameworksGCP## Description This role involves managing a team of engineers while providing technical leadership for major projects. The position requires setting team priorities, aligning strategies, and overseeing the development of technical roadmaps. Responsibilities include designing and vetting system architectures and contributing to product strategy. The manager provides coaching and performance feedback to team members to support their professional development.

Additionally, the role entails overseeing the deployment of large-scale projects across multiple international sites.##

Required Qualifications and Skills Candidates must possess a Bachelor's degree or equivalent practical experience, with a preference for a Master's degree or PhD in a technical field. The role requires 8 years of software development experience, 5 years of experience in ML design and infrastructure, 3 years of technical leadership, 2 years of GenAI experience, and 2 years of people management.

Proficiency in English is required for global collaboration. Additionally, 3 years of experience with cross-functional or cross-business projects is preferred.
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