Machine Learning Engineer, Trust and Safety - USDS
About the position
The Machine Learning Engineer position at TikTok's U.S. Data Security (USDS) division focuses on developing advanced machine learning models to enhance trust and safety on the platform. This role is crucial in protecting user data and ensuring a safe environment for millions of users. The successful candidate will collaborate with various teams to design, implement, and deploy scalable machine learning solutions that address internet abuse and fraud, contributing to TikTok's mission of inspiring creativity and bringing joy.
Responsibilities
Play an important role in building the trust and safety machine learning model
,
Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains
,
Work with engineering teams to implement model pipeline and deploy the service at scale
,
Collaborate with product team to define objectives and improve trust and safety strategy
,
Collaborate with data analyst to understand and find data patterns
Requirements
BS degree with 2+ years' industrial experience, or a MS/PhD degree with 1+ years' relevant experience
,
Hands-on experience in machine learning, deep learning, pattern recognition, anomaly detection, data mining, computer vision, NLP or content understanding
,
Programming skills in Python and similar languages
,
Deep understanding of data structures and algorithms
,
Good communication and teamwork skills
,
Passionate about learning new techniques and taking on challenging problems
Nice-to-haves
Benefits
100% premium coverage for employee medical insurance
,
Approximately 75% premium coverage for dependents
,
Health Savings Account (HSA) with company match
,
Dental and Vision insurance
,
Short/Long term Disability insurance
,
Basic Life, Voluntary Life and AD&D insurance plans
,
Flexible Spending Account (FSA) options
,
10 paid holidays per year
,
17 days of Paid Personal Time Off (PPTO)
,
10 paid sick days per year
,
12 weeks of paid Parental leave
,
8 weeks of paid Supplemental Disability
,
Mental and emotional health benefits through EAP and Lyra
,
401K company match
,
Gym and cellphone service reimbursements
Apply Now
The Machine Learning Engineer position at TikTok's U.S. Data Security (USDS) division focuses on developing advanced machine learning models to enhance trust and safety on the platform. This role is crucial in protecting user data and ensuring a safe environment for millions of users. The successful candidate will collaborate with various teams to design, implement, and deploy scalable machine learning solutions that address internet abuse and fraud, contributing to TikTok's mission of inspiring creativity and bringing joy.
Responsibilities
Play an important role in building the trust and safety machine learning model
,
Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains
,
Work with engineering teams to implement model pipeline and deploy the service at scale
,
Collaborate with product team to define objectives and improve trust and safety strategy
,
Collaborate with data analyst to understand and find data patterns
Requirements
BS degree with 2+ years' industrial experience, or a MS/PhD degree with 1+ years' relevant experience
,
Hands-on experience in machine learning, deep learning, pattern recognition, anomaly detection, data mining, computer vision, NLP or content understanding
,
Programming skills in Python and similar languages
,
Deep understanding of data structures and algorithms
,
Good communication and teamwork skills
,
Passionate about learning new techniques and taking on challenging problems
Nice-to-haves
Benefits
100% premium coverage for employee medical insurance
,
Approximately 75% premium coverage for dependents
,
Health Savings Account (HSA) with company match
,
Dental and Vision insurance
,
Short/Long term Disability insurance
,
Basic Life, Voluntary Life and AD&D insurance plans
,
Flexible Spending Account (FSA) options
,
10 paid holidays per year
,
17 days of Paid Personal Time Off (PPTO)
,
10 paid sick days per year
,
12 weeks of paid Parental leave
,
8 weeks of paid Supplemental Disability
,
Mental and emotional health benefits through EAP and Lyra
,
401K company match
,
Gym and cellphone service reimbursements
Apply Now