TikTok
Machine Learning Engineer Graduate (BRIC) - 2026 Start (PhD)
TikTok, San Jose, California, United States, 95199
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Machine Learning Engineer Graduate (BRIC) - 2026 Start (PhD)
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TikTok 1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Responsibilities The Business Risk Integrated Control (BRIC) team is searching for talented interns to help us solve one of the internet's toughest challenges: protecting a global community from sophisticated, adversarial threats. We are the engineering team responsible for the security and authenticity of TikTok, CapCut, and more. We stop spam, shut down fraud, prevent account takeovers, and ensure the interactions on our platform are genuine. What You'll Do: Tackle Real-World Adversarial Problems: You'll work on detecting fake engagement, API abuse, and financial fraud. Build Models at Massive Scale: Your work will involve analyzing billions of data points to find and stop bad actors. Push the Boundaries of AI: You'll have the chance to work with state-of-the-art techniques like Graph Neural Networks (GNNs), Transformers, and LLMs to model complex user behavior. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with 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 as early as possible. Responsibilities: Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reducing modeling and operational load on risk adversaries and supporting new product/risk ramping-ups. Enhance risk machine learning practices focusing on privacy, interpretability, risk perception, and analysis. Qualifications Minimum Qualifications PhD degree in Computer Science or related fields or equivalent practical experience Final year or recent graduate with a background in Computer Science, Statistics, or other relevant, machine-learning-heavy majors. Solid engineering skills. Familiar with at least two: Linux, Hadoop, Hive, Spark, Storm. Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner. High autonomy. Preferred Qualifications Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series, or graph unsupervised learning. Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilities Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $136,800 - $259,200 annually. Compensation may vary depending on qualifications, skills, experience, and location. This role may be eligible for bonuses, incentives, and stock units. Benefits include medical, dental, vision insurance, 401(k), paid leave, and more. Benefits may vary by location and are subject to change. For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Criminal history considerations include interactions with clients, handling confidential information, and exercising sound judgment. About TikTok TikTok is a leading destination for short-form mobile video, with headquarters in Los Angeles and Singapore, and offices worldwide. Our mission is to inspire creativity and bring joy. Join us to be part of a diverse, innovative team that values curiosity, humility, and impact. Diversity & Inclusion TikTok is committed to creating an inclusive environment that values diverse skills, experiences, and perspectives. We celebrate our diverse voices and aim to reflect the communities we serve. TikTok Accommodation We provide reasonable accommodations for candidates with disabilities, pregnancy, religious beliefs, or other protected reasons. Contact us at https://tinyurl.com/RA-request if needed.
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Machine Learning Engineer Graduate (BRIC) - 2026 Start (PhD)
role at
TikTok 1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Responsibilities The Business Risk Integrated Control (BRIC) team is searching for talented interns to help us solve one of the internet's toughest challenges: protecting a global community from sophisticated, adversarial threats. We are the engineering team responsible for the security and authenticity of TikTok, CapCut, and more. We stop spam, shut down fraud, prevent account takeovers, and ensure the interactions on our platform are genuine. What You'll Do: Tackle Real-World Adversarial Problems: You'll work on detecting fake engagement, API abuse, and financial fraud. Build Models at Massive Scale: Your work will involve analyzing billions of data points to find and stop bad actors. Push the Boundaries of AI: You'll have the chance to work with state-of-the-art techniques like Graph Neural Networks (GNNs), Transformers, and LLMs to model complex user behavior. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with 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 as early as possible. Responsibilities: Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reducing modeling and operational load on risk adversaries and supporting new product/risk ramping-ups. Enhance risk machine learning practices focusing on privacy, interpretability, risk perception, and analysis. Qualifications Minimum Qualifications PhD degree in Computer Science or related fields or equivalent practical experience Final year or recent graduate with a background in Computer Science, Statistics, or other relevant, machine-learning-heavy majors. Solid engineering skills. Familiar with at least two: Linux, Hadoop, Hive, Spark, Storm. Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner. High autonomy. Preferred Qualifications Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series, or graph unsupervised learning. Curiosity towards new technologies and entrepreneurship High levels of creativity and quick problem-solving capabilities Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $136,800 - $259,200 annually. Compensation may vary depending on qualifications, skills, experience, and location. This role may be eligible for bonuses, incentives, and stock units. Benefits include medical, dental, vision insurance, 401(k), paid leave, and more. Benefits may vary by location and are subject to change. For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Criminal history considerations include interactions with clients, handling confidential information, and exercising sound judgment. About TikTok TikTok is a leading destination for short-form mobile video, with headquarters in Los Angeles and Singapore, and offices worldwide. Our mission is to inspire creativity and bring joy. Join us to be part of a diverse, innovative team that values curiosity, humility, and impact. Diversity & Inclusion TikTok is committed to creating an inclusive environment that values diverse skills, experiences, and perspectives. We celebrate our diverse voices and aim to reflect the communities we serve. TikTok Accommodation We provide reasonable accommodations for candidates with disabilities, pregnancy, religious beliefs, or other protected reasons. Contact us at https://tinyurl.com/RA-request if needed.
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