Responsibilities
TikTok's Next-Generation Recommendation team focusing on pioneering cutting-edge recommendation systems powered by advanced large-model technologies. This team is dedicated to advancing TikTok'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 seek multimodal large-model experts who can significantly enhance the precision of video 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.
Want more jobs like this?
Get jobs in San Jose, CA delivered to your inbox every week.
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, to enhance recommendation performance and accuracy.
3- Collaborate with cross-disciplinary teams, including infrastructure engineers, product leaders, and researchers, to create advanced systems that improve recommendation relevance, diversity, and user engagement.
Qualifications
Minimum Qualifications:
1- Master/Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.Extensive research or development experience in recommendation systems or large-model technologies, with expertise in areas such as multimodal content understanding, personalized recommendation, or large-scale cross-domain optimization.
2- Proficiency in programming skills, with a strong foundation in data structures and algorithms, and practical experience in distributed systems and processing massive datasets.
3- A deep understanding and mastery of large-scale Transformer architectures and their latest optimization techniques, including but not limited to Sparse Attention, Linear Attention, Flash Attention, and other innovative methods for optimizing model performance and efficiency.
4- Strong analytical and problem-solving skills, with the ability to work effectively in cross-functional teams to address complex technical challenges.
Preferred Qualifications:
1- Familiarity with PyTorch and TensorFlow, with experience in CUDA programming being a strong plus;
2-Publications in top-tier conferences (such as CVPR, ACL, KDD, ICML, NeurIPS, etc.) are preferred.
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $194000 - $410000 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.