Senior Machine Learning Engineer, TikTok Trust and Safety

$154,280 - $290,700/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The Trust and Safety R&D team is a fast-growing unit responsible for building machine learning models and systems to identify and defend against internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers globally every day. We leverage state-of-the-art machine learning technologies to detect and improve the vast amount of data generated on TikTok, ensuring the best user experience and bringing joy to everyone in the world. In this role, you will be responsible for a whole sub-module in the moderation system or a research direction, which includes but is not limited to large language models (LLM) and their application in safety and moderation system iteration. You will collaborate with team members to design next-generation moderation systems using new technologies, work on neural network models and LLM-based models to address TikTok's online safety challenges, and partner with engineering teams to implement model pipelines and deploy services at scale. Additionally, you will work closely with the product team to define objectives and enhance our trust and safety strategy, as well as collaborate with data analysis teams to understand and identify data patterns.

Responsibilities

• Responsible for a whole sub-module in moderation system or a research direction including but not limited to LLM and application in Safety, moderation system iteration.
• Work with team members to design next-generation moderation systems with new technologies.
• Work on Neural Network models and LLM-based models to solve TikTok online safety problems.
• Work with engineering teams to implement model pipelines and deploy the service at scale.
• Collaborate with the product team to define objectives and improve trust and safety strategy.
• Collaborate with data analysis to understand and find data patterns.

Requirements

• Minimum of 3 years experience in one or more of the areas: machine learning, deep learning, computer vision, content understanding.
• BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
• Skilled in deep learning model training (CV/NLP/NN), serving, and optimization.
• Proficient in deep learning frameworks such as PyTorch and TensorFlow.
• Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills, especially in Python and similar languages.
• Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems.

Nice-to-haves

• Experienced in large-scale online machine learning platforms is preferred.
• Experiences in active learning, reinforcement learning, and LLM are a plus.
• Experience in trust and safety areas is a plus.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
• Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
• 10 paid sick days per year.
• 12 weeks of paid Parental leave.
• 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match.
• Gym and cellphone service reimbursements.