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Tik Tok

Research Scientist

• Tik Tok Next Generation Recommendation

3+ months ago• San Jose, CA
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

• Size: 5001-10000 employees
• Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

About The Team:

You will be joining Tik Tok's Next-Generation Recommendation team, focused on pioneering cutting-edge recommendation systems powered by advanced large-model technologies. This team is dedicated to advancing Tik Tok's personalized content discovery and user experiences by harnessing the power of large models and leveraging massive user data to build revolutionary recommendation technologies. By pushing the boundaries of deep learning and large-scale system design, we strive to achieve breakthroughs in recommendation accuracy, user engagement, and scalability to serve billions of users worldwide.
We are looking for interdisciplinary talents, such as recommendation algorithm experts who are not only deeply familiar with existing practices in recommendation systems but also bring unique and innovative perspectives to recommendation methodologies. Additionally, We are seeking experts in the field of multimodal large models to advance the precision of recommendation systems in capturing user interests through deeper content understanding as well as AI infrastructure engineers who excel in optimizing model performance to its fullest potential. These individuals should be passionate about developing next-generation intelligent and user-centric recommendation systems capable of deeply understanding user interests. In this role, you will work closely with cross-functional teams to tackle complex personalization challenges and drive the evolution and scalability of recommendation systems powered by advanced large models.

Responsibilities:

1- Design and develop next-generation large-scale recommendation systems optimized for personalized, engaging, and scalable user experiences.

2-Leverage state-of-the-art machine learning and deep learning techniques, including large model technologies (LLM and MLLM, etc), to enhance recommendation performance and accuracy.

3- Collaborate with cross-disciplinary teams, including infrastructure engineers, PMO, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.

Qualifications:

Minimum Qualifications:

• Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
• Experience in one or more areas of recommender systems, machine learning, computer vision, or natural language processing.
• Familiarity with Py Torch or Tensor Flow, solid foundation in data structures and algorithms.

Preferred Qualifications:

• Strong engineering and infrastructure development skills, with hands-on experience in building and optimizing distributed systems and processing large-scale online/offline dataflow.
• Proficiency in CUDA programming (experience with Triton) is highly desirable.
• Proficiency in at least two of the following areas-multimodal content understanding, personalized recommendation, or large-scale cross-domain optimization-is a significant advantage.
• In-depth knowledge and expertise in large-scale Transformer architectures, including mastery of the latest optimization techniques such as Sparse Attention, Linear Attention, Flash Attention, and other cutting-edge methods to enhance model performance and efficiency.
• A strong track record of publications in top-tier conferences, such as CVPR, ACL, KDD, ICML, or NeurIPS.
• Exceptional analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams to tackle complex technical challenges.

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For Pay Transparency Compensation Description (annually)

The base salary range for this position in the selected city is $187040 - $438000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

Client-provided location(s): San Jose, CAJob ID: Tik Tok-7521803766221572370Employment Type: OTHERPosted: 2025-07-02T00:36:50Apply on company site

Perks and Benefits

Health and Wellness

• Health Insurance
• Dental Insurance
• Vision Insurance
• HSA
• Life Insurance
• Fitness Subsidies
• Short-Term Disability
• Long-Term Disability
• On-Site Gym
• Mental Health Benefits
• Virtual Fitness Classes

Parental Benefits

• Fertility Benefits
• Adoption Assistance Program
• Family Support Resources

Work Flexibility

• Flexible Work Hours
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Snacks
• Pet-friendly Office
• Happy Hours
• Some Meals Provided
• Company Outings
• On-Site Cafeteria
• Holiday Events

Vacation and Time Off

• Paid Vacation
• Paid Holidays
• Personal/Sick Days
• Leave of Absence

Financial and Retirement

• 401(K) With Company Matching
• Performance Bonus
• Company Equity

Professional Development

• Promote From Within
• Access to Online Courses
• Leadership Training Program
• Associate or Rotational Training Program
• Mentor Program

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

Company Videos

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