Google · 2 weeks ago
Machine Learning Analyst, Messages Spam and Abuse
Kirkland, WA
Full-time
Onsite
Senior Level
$147K/yr - $216K/yr
5+ years expGoogle is a global leader in technology, and they are seeking a Machine Learning Analyst for their Messages Spam and Abuse team. The role involves developing AI-powered solutions to identify malicious messages, improving operational efficiency, and collaborating with cross-functional teams to enhance user safety across Google's messaging ecosystem.
Artificial Intelligence (AI)Cloud ComputingAppsMarketingCloud StorageSearch EngineSEO
Responsibilities
Develop understanding of abuse in messaging, current workflows, and available intelligence
Develop and deploy AI-powered solutions to identify malicious messages or improve operational efficiency, including feature generation and engineering, model development, model evaluation and deployment, maintenance, and adversarial robustness
Drive outcomes for cross-functional projects by building stakeholder relationships and developing project roadmaps
Establish and utilize key metrics to evaluate model changes, guide launches, and inform decision making
Communicate effectively with technical and non-technical audiences at various levels, including producing write-ups, dashboards, and data visualizations to convey findings and recommendations to the team and cross-functional stakeholders
Qualification
Required
Bachelor's degree or equivalent practical experience
5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data
Experience in one or more of the following languages: SQL, Python, Golang
Preferred
Master's degree in a quantitative discipline
5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
5 years of experience working on signal development, data analysis, cyber security, or anti-abuse
Knowledge in messaging, Rich Communication Services (RCS) or SIM, and phone number fraud and abuse
Excellent communication skills with the ability to effectively and concisely convey the results both verbally and in writing
Excellent problem solving, critical thinking, and attention to detail in an ever-changing environment
Benefits
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
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