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Specialist trust safety

About TikTok . Data SecurityTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Data Security ( USDS ) is a subsidiary of TikTok in the . This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep ... users safe. Our focus is on providing oversight and protection of the TikTok platform and . user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About the TeamOur US Data Security Safety team provides key support for TikTok’s innovative initiatives, state-of-the-art products, and integrated platforms servicing our US market. As an AI / ML Specialist, you will be responsible for training our USDS Trust and Safety AI models (CV, OCR, NLP, Audio, Multimodel) to ensure accurate and efficient detection of unsafe content. You will work with the algorithm engineers, the ops / labeling team, and the product & process team to design and improve machine learning model operation processes. This role is crucial in ensuring the quality and relevancy of input into the model which will impact the overall safety of our users. • AI / ML specialists may be exposed to harmful content as part of their core day-to-day functions, as well as in project work; • in response to escalation requests; or by chance. Some content viewed my violate our community guidelines which include but are not limited to bullying; hate speech; child abuse; sexual assault; torture; bestiality; self-harm; suicide; and murder. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager / department. • Develop a model assurance framework to make the model deployment process transparent and compliant- Collaborate with Algo R&D and engineers to understand and implement complex ML frameworks. • Monitor and report on model performance, identify areas for improvement, and implement necessary adjustments via solid root cause analyses. • Establish MLOps policies and ensure their adherence across all data and ML initiatives.- Troubleshoot moderation system issues by effectively communicating technical / business details to various stakeholders- Collect and provide quantitative and qualitative information to measure the risk of model launches and answer strategic business questions Minimum Qualifications : - Bachelor's degree in Computer Science, Statistics, Data Science, Business Analytics, or a related field. • Demonstrated industry experience in data science, quantitative analysis, and machine learning experience to build ML-driven products for solving business problems- Extensive experience in machine learning, data science, and data governance. • Experience in utilizing SQL / Python to extract, manipulate, and analyze datasets. Preferred Qualifications : - Proven experience in program management, typically ranging from 3 -4 years, depending on the complexity and size of the programs managed. • Experience in leading cross-functional teams and managing multiple projects simultaneously.- Strong interest in and knowledge of AI models (CV, NLP, OCR, Audio and Multimodel); Passionate about technology, product, and innovation; Familiarity with SQL and Python (. Numpy, pandas, , machine learning frameworks (. TensorFlow, PyTorch, or scikit-learn ; Having experience in developing / implementing large models(. BERT, GPT, T5, is a plus. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.- Good communication skills and enjoy working with diverse teams globally. Preferred Qualifications- An advanced degree (Master's, PhD) is preferred- 4 years of experience in implementing MLOps or DataOps process- Passion for social technology products and a curiosity to learn and grow with a fast-paced company. Experience working with international partners in different time zones. Trust & Safety recognizes that keeping our platform safe for TikTok communities is no ordinary job. It can be rewarding, psychologically demanding, and emotionally taxing. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start : so our candidates are well informed before proceeding. We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach. Last updated : 2024-06-01
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CEO of TikTok
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Shou Zi Chew
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Our mission is to inspire creativity and bring joy.

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BADGES
Badge Flexible CultureBadge Future MakerBadge Global CitizenBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Casual Dress Code
Startup Mindset
Emails over Meetings
Collaboration over Competition
Fast-Paced
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Mixe-Ability Accomodations
Work Visa Sponsorship
Commuter Benefits
Employee Resource Groups
Performance Bonus
Health Savings Account (HSA)
Flexible Spending Account (FSA)
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
June 2, 2024

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