TikTok
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Mul
TikTok, San Jose, California, United States, 95199
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
Join to apply for the
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
role at
TikTok Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
3 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
role at
TikTok Get AI-powered advice on this job and more exclusive features. Responsibilities
Our team's mission is to empower content understanding for TikTok Short Video business. We focus on cutting-edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state-of-the-art research outputs. Responsibilities
Our team's mission is to empower content understanding for TikTok Short Video business. We focus on cutting-edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state-of-the-art research outputs.
We are looking for talented individuals to join our team in 2026. 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 TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
Lead multimodal algorithm development for TikTok’s short-video business, explore applications of multimodal technologies in recommendation systems and other scenarios to improve key business metrics. Conduct cutting-edge research in multimodal and MLLM technologies, design advanced algorithms to solve business requirements while achieving technical breakthroughs. Drive engineering deployment and implementation, ensuring model stability, scalability, and efficiency in production environments. Focus on key areas including (but not limited to): General AI platform design and development, including few-shot/zero-shot on MLLM, AI-labeling, auto prompting, active-learning, continue pretraining and RL. Integration of content understanding with recommendation systems (e.g., UGC ecosystems, cold start, interest exploration, comment understanding). Leveraging multimodal techniques to develop next-generation recommendation systems, such as generative models and end-to-end approaches.
Qualifications
Minimum Qualifications
Proven experience in multimodal content understanding, with expertise in large language models (LLMs) and familiarity with cutting-edge progress in the field. Strong technical foundation in at least one major deep learning framework (e.g., PyTorch, TensorFlow). Proactive mindset, strong sense of ownership, excellent communication skills, and ability to collaborate across teams.
Preferred Qualification
Hands-on experience deploying content understanding solutions in search, advertising, recommendation, or related domains.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $187200 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:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok'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 Us
Inspiring creativity is at the core of TikTok'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 desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Entertainment Providers Referrals increase your chances of interviewing at TikTok by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
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Join to apply for the
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
role at
TikTok Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
3 days ago Be among the first 25 applicants Join to apply for the
Machine Learning Engineer Graduate (TikTok Short Video Content Understanding/Multimodal Recommendation) - 2026 Start (BS/MS)
role at
TikTok Get AI-powered advice on this job and more exclusive features. Responsibilities
Our team's mission is to empower content understanding for TikTok Short Video business. We focus on cutting-edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state-of-the-art research outputs. Responsibilities
Our team's mission is to empower content understanding for TikTok Short Video business. We focus on cutting-edge research in content understanding and the development of advanced LLM/MLLM algorithms and applications, including generative recommendation, weakly-supervised learning, few-shot classification, video tagging, multi-task learning, multilingual learning, multimodal pretraining, and more. We aim to succeed both in driving measurable business impact (e.g., recommendation metrics) and delivering state-of-the-art research outputs.
We are looking for talented individuals to join our team in 2026. 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 TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
Lead multimodal algorithm development for TikTok’s short-video business, explore applications of multimodal technologies in recommendation systems and other scenarios to improve key business metrics. Conduct cutting-edge research in multimodal and MLLM technologies, design advanced algorithms to solve business requirements while achieving technical breakthroughs. Drive engineering deployment and implementation, ensuring model stability, scalability, and efficiency in production environments. Focus on key areas including (but not limited to): General AI platform design and development, including few-shot/zero-shot on MLLM, AI-labeling, auto prompting, active-learning, continue pretraining and RL. Integration of content understanding with recommendation systems (e.g., UGC ecosystems, cold start, interest exploration, comment understanding). Leveraging multimodal techniques to develop next-generation recommendation systems, such as generative models and end-to-end approaches.
Qualifications
Minimum Qualifications
Proven experience in multimodal content understanding, with expertise in large language models (LLMs) and familiarity with cutting-edge progress in the field. Strong technical foundation in at least one major deep learning framework (e.g., PyTorch, TensorFlow). Proactive mindset, strong sense of ownership, excellent communication skills, and ability to collaborate across teams.
Preferred Qualification
Hands-on experience deploying content understanding solutions in search, advertising, recommendation, or related domains.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $187200 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:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok'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 Us
Inspiring creativity is at the core of TikTok'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 desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request Seniority level
Seniority level Internship Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Entertainment Providers Referrals increase your chances of interviewing at TikTok by 2x Sign in to set job alerts for “Machine Learning Engineer” roles.
AI/ML Engineer (Multiple roles and seniority levels)
San Jose, CA $137,500.00-$236,500.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning
San Jose, CA $120,000.00-$165,000.00 10 months ago Palo Alto, CA $2,000.00-$2,500.00 2 weeks ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Machine Learning Engineer, Early Stage Project
Mountain View, CA $136,000.00-$185,000.00 2 weeks ago San Jose, CA $120,700.00-$228,600.00 2 weeks ago New Grads 2025 - Software Engineer, Algorithm
San Jose, CA $120,000.00-$165,000.00 11 months ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago San Jose, CA $169,500.00-$291,500.00 2 weeks ago San Jose, CA $130,000.00-$182,000.00 12 months ago San Jose, CA $120,000.00-$240,000.00 5 months ago Sunnyvale, CA $158,200.00-$185,000.00 1 month ago San Jose, CA $130,000.00-$200,000.00 1 week ago San Jose, CA $137,500.00-$236,500.00 4 months ago New Grads 2025 - General Software Engineer
San Jose, CA $120,000.00-$165,000.00 6 months ago San Jose, CA $118,657.00-$187,200.00 3 days ago Data Scientist, Analytics - Safety Response
San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago Machine Learning Engineer- Data Scientist
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Mountain View, CA $204,000.00-$259,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr