Senior Research Scientist, Multimodal Machine Learning - Trust and Safety

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Senior

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 to over a billion users globally. The Trust and Safety Research and Development (R&D) team is rapidly expanding and is responsible for developing machine learning models and systems that identify and combat internet abuse and fraud on the platform. This role is crucial in protecting users and publishers worldwide by leveraging state-of-the-art machine learning technologies to manage and analyze the vast amounts of data generated on TikTok daily. The team is dedicated to enhancing user experience and ensuring a safe environment for all users. As a Senior Research Scientist specializing in Multimodal Machine Learning, you will collaborate with a talented group of research scientists and machine learning engineers. Your primary focus will be on designing and deploying advanced models that integrate computer vision (CV), natural language processing (NLP), and audio processing. This position requires a proactive approach to developing innovative machine learning solutions that can be implemented at scale across TikTok's global platform. You will work closely with engineering teams to create model pipelines and deploy services, as well as with product teams to define objectives and refine trust and safety strategies. Additionally, you will collaborate with data analysts to identify and understand data patterns that can inform model development and improve overall safety measures.

Responsibilities

• Design next-generation CV/NLP/Audio multimodality models with team members.
• Develop highly-scalable classifiers, predictive models, and algorithms in big data mining, computer vision, NLP, and other domains.
• Collaborate with engineering teams to implement model pipelines and deploy services at scale.
• Work with product teams to define objectives and enhance trust and safety strategies.
• Partner with data analysts to understand and identify data patterns.

Requirements

• 3+ years of experience in machine learning, deep learning, computer vision, NLP, audio, or content understanding, preferably in large-scale online machine learning platforms.
• Skilled in pre-training foundation technologies, including efficient training and pre-training as a service, with downstream applications of NLP/CV/Video.
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as Python or Java.
• Strong programming skills in Python and similar languages, with a deep understanding of data structures and algorithms.
• Excellent communication and teamwork skills, with a passion for learning new techniques and tackling challenging problems.
• Experience in the trust and safety area is a plus.

Nice-to-haves

• Experience with large-scale online machine learning platforms.
• Familiarity with advanced machine learning techniques and algorithms.
• Knowledge of data privacy and security best practices.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for 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, 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 EAP and Lyra.
• 401K company match, gym, and cellphone service reimbursements.