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Google Hiring for Machine Learning Analyst, Tech Lead at Sunnyvale, CA Full Time
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Minimum qualifications:
- Bachelor’s degree in a quantitative field or equivalent practical experience in risk, abuse, fraud, data protection, or security
- 6 years of experience in data analysis or related fields
- Experience with statistical software (i.e. R), database language (i.e. SQL), or scripting languages (i.e. Python)
- Experience applying machine learning on datasets and/or leading technical teams
Preferred qualifications:
- Master’s degree or PhD in a technical field
- 4 years of experience in coding (e.g., C, C++, Python, Java), databases, and querying (e.g., SQL and MySQL)
- Experience in abuse and fraud disciplines, focused on web security, harmful content moderation, and threat analysis
- Experience in quantitative disciplines, statistical data analysis, and applied machine learning on large datasets
- Experience with statistical data analysis (e.g., classification models, multivariate analysis, and sampling methods), image recognition, and natural language processing
- Ability to lead large-scale projects in a cross-functional team environment, prioritize tasks, and translate ambiguous business questions into strategies
About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
The Scaled Abuse team within Trust and Safety builds content-level protections/models to classify content that violates policies on Google products and the internet. We host our solutions to enforce Google policies on products at scale.
In this role, you will work with teams of analysts who are enthusiastic about Machine Learning and de-spamming techniques to protect our users and build trust.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Responsibilities
- Work with large, complex datasets. Solve non-routine analysis problems, applying advanced analytical methods (e.g., machine learning and abnormality detection) as needed.
- Lead and manage multiple projects with high complexity and scope. Use technical judgment to identify risks, propose solutions, and drive project delivery.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive data structures and metrics, advocating and influencing product features.
- Interact cross-functionally with a wide variety of people and teams. Work with engineers to identify opportunities for design, assess improvements, and protect Google products.
- Make recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
