Research Scientist - Search/Recommendation/Ads - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Apr 16, 2026 Singapore
About us
TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.
- Size: 10,000+ employees
- Industry: Technology: Consumer Internet
Why you should apply for a job to TikTok:
4.5/5 in overall job satisfaction
4.5/5 in supportive management
100% say women are treated fairly and equally to men
100% would recommend this company to other women
100% say the CEO supports gender diversity
Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›
Responsibilities
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Team Introduction: Our TikTok Data team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
Topic Content: We aim to integrate recommendation large models multimodal large models, and the Agentic Rec framework to fundamentally reshape the underlying content distribution logic, empowering the system with deep semantic association and autonomous planning capabilities, exploring new frontiers in algorithmic design.
1. Recommendation Large Models: Address challenges such as gradient convergence and representation drift in ultra-long behavioral sequences, enabling the system to achieve true ""logical reasoning"" capabilities.
2. Unified Multimodal Semantic Space: Explore alignment across video, image-text content, and user intent, constructing a fully multimodal semantic space that goes beyond text.
3. Agentic Rec:Develop recommendation agents with capabilities such as self-reflection, tool invocation, and long-horizon planning, driving a transformation of recommendation and content distribution experiences.
Qualifications
Minimum Qualifications:
1. Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
2. Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
3. Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
4. Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, and multimodal learning.
5. Outstanding communication and collaboration skills, with the ability to work with the team to explore new technologies and drive innovation.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Team Introduction: Our TikTok Data team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
Topic Content: We aim to integrate recommendation large models multimodal large models, and the Agentic Rec framework to fundamentally reshape the underlying content distribution logic, empowering the system with deep semantic association and autonomous planning capabilities, exploring new frontiers in algorithmic design.
1. Recommendation Large Models: Address challenges such as gradient convergence and representation drift in ultra-long behavioral sequences, enabling the system to achieve true ""logical reasoning"" capabilities.
2. Unified Multimodal Semantic Space: Explore alignment across video, image-text content, and user intent, constructing a fully multimodal semantic space that goes beyond text.
3. Agentic Rec:Develop recommendation agents with capabilities such as self-reflection, tool invocation, and long-horizon planning, driving a transformation of recommendation and content distribution experiences.
Minimum Qualifications:
1. Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
2. Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
3. Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
4. Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, and multimodal learning.
5. Outstanding communication and collaboration skills, with the ability to work with the team to explore new technologies and drive innovation.
We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Team Introduction: Our TikTok Data team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
Topic Content: We aim to integrate recommendation large models multimodal large models, and the Agentic Rec framework to fundamentally reshape the underlying content distribution logic, empowering the system with deep semantic association and autonomous planning capabilities, exploring new frontiers in algorithmic design.
1. Recommendation Large Models: Address challenges such as gradient convergence and representation drift in ultra-long behavioral sequences, enabling the system to achieve true ""logical reasoning"" capabilities.
2. Unified Multimodal Semantic Space: Explore alignment across video, image-text content, and user intent, constructing a fully multimodal semantic space that goes beyond text.
3. Agentic Rec:Develop recommendation agents with capabilities such as self-reflection, tool invocation, and long-horizon planning, driving a transformation of recommendation and content distribution experiences.
Qualifications
Minimum Qualifications:
1. Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
2. Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
3. Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
4. Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, and multimodal learning.
5. Outstanding communication and collaboration skills, with the ability to work with the team to explore new technologies and drive innovation.
Responsibilities
ResponsibilitiesWe are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume.
Team Introduction: Our TikTok Data team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
Topic Content: We aim to integrate recommendation large models multimodal large models, and the Agentic Rec framework to fundamentally reshape the underlying content distribution logic, empowering the system with deep semantic association and autonomous planning capabilities, exploring new frontiers in algorithmic design.
1. Recommendation Large Models: Address challenges such as gradient convergence and representation drift in ultra-long behavioral sequences, enabling the system to achieve true ""logical reasoning"" capabilities.
2. Unified Multimodal Semantic Space: Explore alignment across video, image-text content, and user intent, constructing a fully multimodal semantic space that goes beyond text.
3. Agentic Rec:Develop recommendation agents with capabilities such as self-reflection, tool invocation, and long-horizon planning, driving a transformation of recommendation and content distribution experiences.
Qualifications
QualificationsMinimum Qualifications:
1. Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields.
2. Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks.
3. Publications in international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc) is a plus.
4. Strong foundation in machine learning, with in-depth understanding and research experience in deep learning, reinforcement learning, NLP, and multimodal learning.
5. Outstanding communication and collaboration skills, with the ability to work with the team to explore new technologies and drive innovation.
Additional Information
- Posted: Apr 16, 2026