Engineer Graduate, AI Safety - San Jose, TikTok - 2026 Start (BS/ MS)
San Jose, California, United States
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
About Us:
TikTok identifies Trust and Safety as a top priority, and our team obsesses over it daily. As generative AI and large models power more TikTok experiences, the AI Safety team ensures these systems are deployed responsibly, reliably, and in alignment with our community values.
We are a newly founded team focused on building scalable safety systems to detect, prevent, and mitigate risks associated with advanced AI technologies. Our mission is to create robust infrastructure, tools, and model-based interventions to support safe and trustworthy AI development at TikTok.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.
Responsibilities:
- Design, build, and maintain infrastructure that enables safe deployment and monitoring of generative AI systems
- Develop systems to detect, respond to, and mitigate misuse and safety incidents in AI-generated content
- Collaborate closely with ML engineers, T&S policy, operations, and research teams to align models with TikTok’s safety principles
- Lead efforts to assess and remediate real-time safety risks from emerging AI capabilities
- Prototype and productionize classifiers, filters, audits, and feedback loops for high-risk or novel model outputs
- Drive safety evaluations, instrumentation, and experimentation to monitor alignment, fairness, and reliability at scale
TikTok identifies Trust and Safety as a top priority, and our team obsesses over it daily. As generative AI and large models power more TikTok experiences, the AI Safety team ensures these systems are deployed responsibly, reliably, and in alignment with our community values.
We are a newly founded team focused on building scalable safety systems to detect, prevent, and mitigate risks associated with advanced AI technologies. Our mission is to create robust infrastructure, tools, and model-based interventions to support safe and trustworthy AI development at TikTok.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
Online Assessment
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.
Responsibilities:
- Design, build, and maintain infrastructure that enables safe deployment and monitoring of generative AI systems
- Develop systems to detect, respond to, and mitigate misuse and safety incidents in AI-generated content
- Collaborate closely with ML engineers, T&S policy, operations, and research teams to align models with TikTok’s safety principles
- Lead efforts to assess and remediate real-time safety risks from emerging AI capabilities
- Prototype and productionize classifiers, filters, audits, and feedback loops for high-risk or novel model outputs
- Drive safety evaluations, instrumentation, and experimentation to monitor alignment, fairness, and reliability at scale
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
1
0
0
Categories:
Deep Learning Jobs
Engineering Jobs
Tags: Generative AI Machine Learning Research
Perks/benefits: Career development
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Business Intelligence Developer jobsData Scientist II jobsPrincipal Data Engineer jobsSr. Data Engineer jobsBI Developer jobsStaff Data Scientist jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsDevOps Engineer jobsData Science Intern jobsJunior Data Analyst jobsAI/ML Engineer jobsSoftware Engineer II jobsData Manager jobsStaff Software Engineer jobsData Science Manager jobsLead Data Analyst jobsData Analyst Intern jobsSr. Data Scientist jobsData Specialist jobsBusiness Data Analyst jobsBusiness Intelligence Analyst jobsData Governance Analyst jobsData Engineer III jobsSenior Backend Engineer jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsKafka jobsLinux jobsKPIs jobsGitHub jobsJavaScript jobsTerraform jobsPrompt engineering jobsPostgreSQL jobsRAG jobsStreaming jobsScikit-learn jobsBanking jobsData Warehousing jobsNoSQL jobsClassification jobsPhysics jobsRDBMS jobsComputer Vision jobsdbt jobsPandas jobs
Google Cloud jobsHadoop jobsScala jobsLangChain jobsGPT jobsR&D jobsMicroservices jobsData warehouse jobsBigQuery jobsCX jobsDistributed Systems jobsScrum jobsELT jobsReact jobsOracle jobsLooker jobsIndustrial jobsPySpark jobsOpenAI jobsJira jobsRedshift jobsRobotics jobsSAS jobsTypeScript jobsUnstructured data jobs