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

TikTok; San Jose (CA); Hybrid; USD 144,000; Full time

Job summary

TikTok is seeking a Machine Learning Engineer Graduate to join our Trust and Safety team, focusing on developing models to enhance internet safety. The role requires strong machine learning expertise, with a collaborative environment poised to innovate and protect our global user base. This entry-level position is integral to maintaining the integrity of our platform while embracing cutting-edge technology.

Benefits

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Short-term and long-term disability coverage

Life insurance

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Qualifications

• Master's in Computer Science, Engineering, or related fields required.
• Strong background in machine learning and software development essential.
• Thorough understanding of data structures and algorithms.

Responsibilities

• Build advanced machine learning solutions and models.
• Collaborate with teams to define objectives and improve strategies.
• Implement model pipelines and deploy services at scale.

Skills

Machine Learning

Software Development

Data Structures

Algorithms

Problem Solving

Education

Master's in Computer Science

Job description

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

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 state-of-the-art 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 You'II Do
- Play an important role in building 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 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 cross-functional partnerships, among other things, 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 problem-solving 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 problem-solving capabilities

About USDS
TikTok is the leading destination for short-form 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, security-first 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.

Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.


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 https://tinyurl.com/USDS-RA


Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $144000 - $144000 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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