Job Description

Machine Learning Engineer Graduate, Trust and Safety, USDS - 2025 Start (MS)

Responsibilities

About the team: Our Trust and Safety engineering team is responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform. Our mission is to protect billions of users and publishers across the globe every day. We embrace stateoftheart machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world.

We are looking for machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them. A successful candidate will have machine learning expertise and good software engineering experience. And you will take pride in working with engineers, product managers and business partners to identify and solve the most challenging safety and integrity problems on the internet scale.

What youll do

• Play an important role in building trust and safety machine learning model
• Work on highlyscalable 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 a product team to define objectives and improve trust and safety strategy
• Collaborate with data scientists to understand and find data patterns

In order to enhance collaboration and crossfunctional partnerships, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Qualifications

Minimum Qualifications:

• Master's in Computer Science, Engineering, Operations Research, or related fields.
• Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Thorough understanding of data structures and algorithms, with excellent problemsolving ability.
• Deep understanding of machine learning, statistics, scaling distributed computing, and big data engineering.

Preferred Qualifications:

• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Internship experience or research experience, especially in natural language processing, fraud detection, or responsible AI, integrity, or trust and safety.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problemsolving capabilities.

About USDS

TikTok is the leading destination for shortform mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (USDS) is a subsidiary of TikTok in the U.S. This new, securityfirst division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

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.

USDS Reasonable Accommodation

USDS 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

Job Information

For Pay TransparencyCompensation Description (Annually): The base salary range for this position in the selected city is $118,657 - $187,200 annually. Compensation may vary outside of this range depending on a number of factors, including a candidates 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, shortterm and longterm 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.

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