Machine Learning Analyst, Trust and Safety

About the Machine Learning Analyst, Trust and Safety Role at Google

As a Machine Learning Analyst, Trust and Safety, you will join Google's dedicated team focused on identifying and mitigating the most egregious online harms, such as child sexual abuse materials and non-consensual intimate imagery. This role is pivotal in safeguarding users and upholding the integrity of Google's extensive product ecosystem, including Search, Maps, Gmail, and Google Ads. Leveraging your technical acumen, you will design and develop novel solutions, working closely with Product, Engineering, Policy, and Legal teams globally to combat abuse with urgency.

Responsibilities

• Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
• Compute statistics (e.g., precision, recall) about the performance of complex technical models (Machine Learning systems, classifiers, Large Language Models) and recognize nuanced, easily missed problems in the performance of these systems.
• Lead multiple interdependent projects of moderate to high complexity and scope. Work cross-functionally to ensure coordination and alignment on objectives and key results.
• Review or be exposed to sensitive or graphic content as part of core role.

Minimum Qualifications

• 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 with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning).

Preferred Qualifications

• Master's degree in a quantitative discipline.
• Knowledge of current abuse techniques and practices.
• Ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.
• Ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
• Excellent written and verbal communication with the ability to describe technical implementations or analyses to a non-technical audience in an effective manner.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the Trust & Safety Team

The Trust & Safety team is at the forefront of protecting Google's users and partners from abuse and fraud across all products. This global, cross-functional team of analysts, policy specialists, engineers, and program managers is dedicated to delivering bold solutions in critical abuse areas like malware, spam, and account hijacking. They work tirelessly to promote trust in Google and ensure the highest levels of user safety in over 40 languages worldwide.

Key Skills/Competency

• Machine Learning
• Data Analysis
• Statistical Modeling
• AI/ML Infrastructure
• Problem Solving
• Cross-functional Collaboration
• Product Safety
• Abuse Detection
• Data Manipulation
• Quantitative Analysis