Machine Learning Engineer

Leverage AI/ML techniques and technologies to extract value from complex and massive datasets for predicting security threats and vulnerabilities in public cloud infrastructure. Develop and prototype AI/ML algorithms and software tools and define and manage their effectiveness and quality metrics. Conduct quantitative data analysis using a variety of datasets, including developing retrieval, processing, fusion, analysis, and visualization tools for these various datasets. Work closely with security experts and customers to hear about requirements to guide the development of tools/algorithms. Increase the efficiency and quality of the threat and vulnerability discovery process by tightly integrating automated processes, AI/ML techniques and human SME/analyst expertise. Collaborate on end-to-end data projects: defining goals, implementing AI/ML solutions, integrating them and evaluating the impact.

According to JobzMall, the average salary range for a Machine Learning Engineer in 500 108th Ave NE, Bellevue, WA 98004, USA is $98,000 - $138,000 per year. This range is based on the salaries of ML Engineers in the area and may vary depending on the company and experience level of the individual.

VMware, Inc. provides the development and application of virtualization technologies with x86 server-based computing, separating application software from the underlying hardware. Its virtualization infrastructure solutions, which include a suite of products designed to deliver a software-defined data center, run on industry-standard desktop computers and servers and support a wide range of operating system and application environments, as well as networking and storage infrastructures.