General Hire) Research Scientist Graduate ( Recommendation) - 2027 Start (PhD) San Jose
Listed on 2026-08-08
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
(General Hire) Research Scientist Graduate (Tik Tok Recommendation) - 2027 Start (PhD)
Location:
San Jose
Employment Type:Regular
Job Code:A248607
Share this listing:Responsibilities
Our team's mission is to empower genAI and content understanding in Tik Tok businesses. Computer vision and natural language processing are important dimensions in both content generation and understanding. We are working on various foundational models, including multi-modality pretraining, multi-modal large language model, image generation, video generation etc. As a GenAI team on the business side, we try to succeed in both achieving business metric gains (recommendation metrics), and also producing state-of-the-art research outputs.
This opening is part of the general hiring process for the Tik Tok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the match based on skills and interests.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
- Conducting development and research on cutting-edge CV, NLP, multi-modality, LLM, generative modeling
- Following SoTA progress in relevant fields and transforming ideas into production
- Life-cycle model development, from model training, deployment, maintenance, till its use in business scenarios.
Minimum Qualifications
- Individuals who are completing or have recently completed a PhD degree in computer science or a related discipline.
- Experience in one of more areas of computer vision, natural language processing and machine learning.
- Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow, MXNet, Caffe/Caffe2).
- Familiar with deep neural network architectures such as transformer/SSM/CNN/RNN/LSTM etc.
- Strong analytical and problem solving skills. Ability to work collaboratively in cross-functional teams.
- Degree in computer science, electrical engineering or related fields.
- Authors with publications in major AI venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR.
The base salary range for this position in the selected city is $156000 - $387600 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:Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join UsInspiring creativity is at the core of Tik Tok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).