TikTok
Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Saf
TikTok, San Jose, California, United States, 95199
Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Safety) - 2026 Start (Master/Bachelor)
Apply for the Machine Learning Engineer Graduate role at TikTok.
Responsibilities
Collaborate with product teams to define business objectives and improve trust and safety strategy.
Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
Collaborate with the data scientist team to understand the key challenges and propose data‑driven strategies.
Work on state‑of‑the‑art content understanding techniques including unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.
Qualifications
Master or Bachelor degree in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics or similar quantitative fields.
Hands‑on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
Strong coding skills.
Curiosity towards new technologies and entrepreneurship; good communication and teamwork skills.
The base salary range for this position in the selected city is $118,657 – $187,200 annually.
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.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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Responsibilities
Collaborate with product teams to define business objectives and improve trust and safety strategy.
Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipelines at scale.
Collaborate with the data scientist team to understand the key challenges and propose data‑driven strategies.
Work on state‑of‑the‑art content understanding techniques including unimodal/multimodal content classifiers, Active learning models, Reinforcement learning models, and Large Language Models.
Qualifications
Master or Bachelor degree in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics or similar quantitative fields.
Hands‑on or academic experience in one or more of the following areas: Machine learning, Large Language Models, Recommendation Systems, and related areas.
Strong coding skills.
Curiosity towards new technologies and entrepreneurship; good communication and teamwork skills.
The base salary range for this position in the selected city is $118,657 – $187,200 annually.
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.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
#J-18808-Ljbffr