Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start

About This Role

This graduate role is for a Machine Learning Engineer to join the TikTok Trust and Safety algorithm team, focusing on developing advanced computer vision, NLP, and multimodality models to protect the platform and its users. The position offers opportunities to pursue bold ideas, tackle complex challenges, and foster professional growth within a rapidly evolving tech environment.

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 unimodal/multimodal content classifiers, learning models, Reinforcement learning models, and Large Language Models

Requirements

• Completing or recently completed a Bachelor's/Master's degree in computer science or a related discipline
• 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

• Discretionary bonuses/incentives
• Restricted stock units
• Day one access to medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Important Details

• Start date: 2027

About the Company

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. Its global headquarters are in Los Angeles and Singapore, with offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.