TikTok
Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Saf
TikTok, Seattle, Washington, us, 98127
Overview Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Safety) - 2025 Start(Master/Bachelor)
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. Join to apply for the Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Safety) 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 but not limited to unimodal/multimodal content classifiers, active learning models, reinforcement learning models, and Large Language Models. Join in 2025 as new graduates to participate in developing cutting-edge content understanding models to improve recognition of violated content in TikTok, and optimize distributed model training frameworks. 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. Compensation and Benefits The base salary range for this position in the selected city is $112,725 - $177,840 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may be eligible for additional discretionary bonuses/incentives and restricted stock units. Benefits vary by location and may include medical, dental, and vision insurance, retirement plans, parental leave, disability coverage, life insurance, wellbeing benefits, paid holidays, sick days, and paid personal time. The company reserves the right to modify benefits programs at any time. Privacy, Equal Opportunity and Accessibility By submitting an application for this role, you accept and agree to our global applicant privacy policy. TikTok is an equal opportunity employer and is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities or other protected reasons. If you need assistance or a reasonable accommodation, please reach out to us.
#J-18808-Ljbffr
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly. Join to apply for the Machine Learning Engineer Graduate - CV/NLP/Multimodal LLM (TikTok Trust and Safety) 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 but not limited to unimodal/multimodal content classifiers, active learning models, reinforcement learning models, and Large Language Models. Join in 2025 as new graduates to participate in developing cutting-edge content understanding models to improve recognition of violated content in TikTok, and optimize distributed model training frameworks. 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. Compensation and Benefits The base salary range for this position in the selected city is $112,725 - $177,840 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of the Total Package and may be eligible for additional discretionary bonuses/incentives and restricted stock units. Benefits vary by location and may include medical, dental, and vision insurance, retirement plans, parental leave, disability coverage, life insurance, wellbeing benefits, paid holidays, sick days, and paid personal time. The company reserves the right to modify benefits programs at any time. Privacy, Equal Opportunity and Accessibility By submitting an application for this role, you accept and agree to our global applicant privacy policy. TikTok is an equal opportunity employer and is committed to providing reasonable accommodations in recruitment processes for candidates with disabilities or other protected reasons. If you need assistance or a reasonable accommodation, please reach out to us.
#J-18808-Ljbffr