Machine Learning Engineer - CV/NLP/Multimodal LLM (Trust and Safety) - 2025 Start(Master/Bachelor)

$116,000 - $168,150/Yr

Tiktok - Seattle, WA

Full-time - Entry 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, with a mission to inspire creativity and bring joy. The algorithm team plays a crucial role in developing advanced computer vision, natural language processing (NLP), and multimodality models and algorithms to ensure the safety and integrity of the platform. This team is dedicated to protecting users from content and behaviors that violate community guidelines and regulations. By continuously innovating and optimizing our models, TikTok aims to enhance user experience and maintain a joyful environment for all users worldwide. As a new graduate joining our team in 2025, you will have the unique opportunity to contribute to the development of cutting-edge content understanding models. Your work will focus on improving the recognition capabilities of violated content on TikTok, as well as optimizing our distributed model training framework. This role involves collaboration with various teams, including product, engineering, and data science, to define business objectives and enhance our trust and safety strategies. You will engage in state-of-the-art content understanding techniques, including unimodal and multimodal content classifiers, active learning models, reinforcement learning models, and large language models. At TikTok, we believe in the power of collaboration and innovation. We encourage our team members to embrace challenges as opportunities for growth and learning. Our inclusive workplace values diverse perspectives and experiences, fostering an environment where creativity can thrive. We are committed to providing reasonable accommodations for candidates with disabilities and other protected reasons, ensuring that everyone has the opportunity to succeed in our recruitment processes.

Responsibilities

• 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.
• Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.

Requirements

• Master or Bachelor degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
• Hands-on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
• Strong coding skills.
• Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• Health Savings Account (HSA) with company match
• Dental insurance
• Vision insurance
• Short/Long term Disability insurance
• Basic Life insurance
• Voluntary Life and AD&D insurance plans
• Flexible Spending Account (FSA) options
• 10 paid holidays per year
• 17 days of Paid Personal Time Off (PPTO)
• 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 reimbursement
• Cellphone service reimbursement