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Machine Learning Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Towards AI, Inc.
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 160000 - 200000 USD Yearly USD 160000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer (10030)
# Staff Machine Learning Engineer (10030)## Extreme Networks Published 16 Jul 2026### Share this job Seattle, WA, USA
160K - 200K USD Annual Full Time## Role Highlights### Languages used

Python Triton Objective -CS3### Key skills

Big Data Data Mining Anomaly Detection Machine Learning Computer ScienceAPICICDCode Reviews Distributed SystemsSDLCLLMsGenerative AITransformation

GraphRAGMathematics Testing Operations Architecture Cloud Ph DNOSQLGoogle Analytics Console### Tools, Libraries and Frameworks

RestGCPDocker

KubernetesAWSAzure Sage Maker Py Torch Tensorrt Fast API## Description The role involves working within an AI Core group to pioneer platforms and solutions for Generative AI. Responsibilities include developing AI agents, knowledge bases, and systems for data mining and anomaly detection. The position focuses on building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. These efforts are intended to power flagship products and enable new service offerings.

The work contributes to a fundamental shift in how businesses manage networks through advanced intelligence.##

Required Qualifications and Skills Candidates must possess a degree in mathematics, computer science, or a related discipline. The role requires at least eight years of experience in the full software development lifecycle and six years of experience in Python. Applicants need four years of experience leading the design and architecture of large distributed systems on cloud platforms. Additionally, the position requires experience in a leadership or mentorship capacity.
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