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AI Safety Analyst, Google Photos

Karnataka, India (On-site)

AI Safety Analyst, Google Photos

1 Hour ago • 4 Years + • Artificial Intelligence

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

computer-vision

python

sql

data-analytics

communication

Job Description

The AI Safety Analyst at Google Photos will play a crucial role in ensuring the safe and responsible deployment of AI in Google Photos. Responsibilities include developing and implementing adversarial test strategies for AI features like Ask Photos and Magic Editor, proactively identifying and mitigating potential risks, and conducting in-depth research to identify emerging risk areas and abuse vectors. This role involves partnering with various teams (Product, Engineering, Policy, Research, Trust and Safety) to develop tailored testing approaches, analyze model outputs, improve safety classifiers, establish health metrics, and report key insights. The role requires evaluating model outputs, which may include sensitive or graphic content. The ideal candidate will possess strong problem-solving skills, creative thinking, excellent communication skills, and experience in data analytics, Trust and Safety, or related fields.

Must have:

Bachelor's degree or equivalent experience
4+ years experience in relevant field
Experience with ML
SQL, dashboard building skills
Scripting/programming (Python)
Cross-functional influence
Excellent communication skills

Good to have:

Master's degree in relevant technical field
Experience in data collection/transformation and visualization

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.

Preferred qualifications:

Master's degree in a relevant technical field.
Experience with Machine Learning (ML).
Experience in SQL, building dashboards, data collection/transformation, and visualization/dashboards.
Experience in a scripting/programming language (e.g. Python).
Ability to influence cross-functionally at various levels.
Excellent communication, presentation, written and verbal skills.

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.

In this role, you will work directly with Product Managers, Engineers, Policy, Legal team to build and execute a comprehensive approach to push the Artificial Intelligence (AI) model to its limits and build resilience against malicious or unexpected inputs. Your creative thinking, deep expertise, problem-solving and collaboration skills will be invaluable to ensure a safe and responsible deployment of AI in Google Photos. This role also requires evaluation of model output, which may include sensitive, graphic, controversial, or upsetting content

Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

Responsibilities

Develop and implement adversarial test strategy for AI features in Google Photos (Ask Photos, Magic Editor) to proactively identify and mitigate potential risks and avoid unintended outputs.
Conduct in-depth research, identify emerging risk areas, abuse vectors, edge cases to craft quality adversarial test datasets and build internal and external partnerships to stay on top of AI safety.
Partner with product, engineering, policy, research, central Trust and Safety etc to develop tailored testing approaches, tools and solutions (test accounts etc), execution of tests, analyse model outputs to inform improvement areas and safety mechanisms.
Monitor and improve quality, precision, recall of the safety classifiers and manual rating processes.
Establish health metrics and feedback loops with stakeholders to evolve the program and report on key insights.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.