Machine Learning Engineer, TikTok Trust and Safety

$137,750 - $237,500/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 team at TikTok is rapidly expanding and is responsible for developing machine learning models and systems that protect users from negative content. Our goal is to safeguard billions of users and publishers globally every day. We leverage state-of-the-art machine learning technologies to manage the vast amounts of data generated on our platform. Through our continuous efforts, we aim to enhance user experience and spread joy worldwide. We are seeking exceptional machine learning engineers who are proactive, capable of designing and developing advanced machine learning solutions, and deploying them directly to TikTok's global platform. The ideal candidate will possess expertise in machine learning and solid software engineering skills. You will collaborate with engineers, product managers, and business partners to tackle the most challenging safety and integrity issues at an internet scale. This role is pivotal in ensuring that TikTok remains a safe and enjoyable platform for all users. As part of the Trust and Safety team, you will work on cutting-edge content understanding techniques, including unimodal and multimodal content classifiers, active learning models, reinforcement learning models, and large language models. You will gain a deep understanding of TikTok's moderation system and propose optimized methods to enhance it. Collaboration with product teams will be essential to define business objectives and improve our trust and safety strategy. Additionally, you will work closely with engineering teams to deploy machine learning models, design online model workflows, and implement serving pipelines at scale. Your collaboration with the data science team will help identify key challenges and develop data-driven strategies to address them.

Responsibilities

• Work on state-of-the-art content understanding techniques including unimodal/multimodal content classifiers, active learning models, reinforcement learning models, and large language models.
• Deep understanding of TikTok moderation system and propose optimized methods on current moderation system.
• Collaborate with product teams to define business objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
• Collaborate with the data scientist team to understand the key challenges and propose data-driven strategies.

Requirements

• BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
• 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.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Nice-to-haves

• Minimum of 1 year of related experience.
• Experience in large language models, multimodal modeling, active learning, and reinforcement learning.
• Publications in top AI/ML conferences are a plus.
• Understanding of the recommendation system or moderation system.
• Experience in developing online ML systems including ranking and retrieval.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a 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) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through our EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.