Overview
On Site
USD 136,800.00 - 259,200.00 per year
Full Time
Skills
Data Security
Accountability
Onboarding
SAP BASIS
PASS
Evaluation
Collaboration
Algorithms
Business Systems
Testing
Boost
Decision-making
Analytics
Legal
Auditing
Regulatory Affairs
Customer Engagement
Deep Learning
Data Extraction
Presentations
Python
R
Java
C++
SQL
Natural Language Processing
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
Open Source
Artificial Intelligence
Prompt Engineering
Optimization
Machine Learning (ML)
Privacy
Insurance
Life Insurance
Management
Information Technology
Video
LOS
Recruiting
Job Details
Location :
San Jose
Employment Type :
Regular
Job Code :
A225997C
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Responsibilities
About the team PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users' privacy is honored across the TikTok's products and platforms. 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 for a maximum of TWO positions and will be considered for jobs in the order you applied for. 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. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through CodeSignal. About the role The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems. - Formulate end-to-end machine learning models by utilizing ML, NLP, LLM/AI techniques to deal with real-world signals generated from privacy products/ incidents/ review areas. - Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making. - Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction. - Communicate final recommendations and drive decision making. You will utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution. You will design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data and AI models to find insights, diagnose problems and tell compelling stories. Besides the technical side, you will also get the opportunity to work closely with various XFN teams, including but not limited to engineering, legal, audit, security, public, government relations, and products. You will be expected to build deep domain knowledge and build a strong domain expertise in privacy.
Qualifications
Minimum Qualifications: - PhD in CS, CE, ML or related field experience - Solid background in NLP and LLM/AI, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. - Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets - Experience with at least one programming language (i.e. Python, R, Java, or C++) and SQL queries. - Experience in at least one of the following areas: natural language processing, generative AI, reinforcement learning - Experience with Large Language Model fine tuning and open source LLM deployment. Preferred Qualifications: - Experience developing LLM-based AI agents or autonomous systems - Knowledge of optimization techniques including linear, non-linear, mixed-integer, large-scale, and robust optimization - Experience implementing explainable AI techniques for complex models - Background in integrating LLMs with existing systems and tools - Experience with prompt engineering, fine-tuning, and alignment techniques for LLMs - Experience designing systems that incorporate both optimization and machine learning components By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ;br>
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $136800 - $259200 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. 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
Apply to this job
San Jose
Employment Type :
Regular
Job Code :
A225997C
Apply to this job
Share this listing:
Responsibilities
About the team PDPO(Privacy and Data Protection Office) is the organization to lead, supervise, and empower all TikTok's privacy work in an accountable and industry leading way. This team is the expert in the landscape of privacy risks and passionate about consulting across the company on implementing the proper safeguards and technical mitigations to ensure that our users' privacy is honored across the TikTok's products and platforms. 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 for a maximum of TWO positions and will be considered for jobs in the order you applied for. 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. Online Assessment Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through CodeSignal. About the role The Machine Learning Scientist will lead and collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our business systems. - Formulate end-to-end machine learning models by utilizing ML, NLP, LLM/AI techniques to deal with real-world signals generated from privacy products/ incidents/ review areas. - Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making. - Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction. - Communicate final recommendations and drive decision making. You will utilize data-driven techniques in building solutions to help measure, validate, identify, and envision TikTok's privacy evolution. You will design and scope out projects, build operationalized analytics tools and platforms, and most importantly, use data and AI models to find insights, diagnose problems and tell compelling stories. Besides the technical side, you will also get the opportunity to work closely with various XFN teams, including but not limited to engineering, legal, audit, security, public, government relations, and products. You will be expected to build deep domain knowledge and build a strong domain expertise in privacy.
Qualifications
Minimum Qualifications: - PhD in CS, CE, ML or related field experience - Solid background in NLP and LLM/AI, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. - Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets - Experience with at least one programming language (i.e. Python, R, Java, or C++) and SQL queries. - Experience in at least one of the following areas: natural language processing, generative AI, reinforcement learning - Experience with Large Language Model fine tuning and open source LLM deployment. Preferred Qualifications: - Experience developing LLM-based AI agents or autonomous systems - Knowledge of optimization techniques including linear, non-linear, mixed-integer, large-scale, and robust optimization - Experience implementing explainable AI techniques for complex models - Background in integrating LLMs with existing systems and tools - Experience with prompt engineering, fine-tuning, and alignment techniques for LLMs - Experience designing systems that incorporate both optimization and machine learning components By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ;br>
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $136800 - $259200 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:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. 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
Apply to this job
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.