Machine Learning Engineer, Trust and Safety - USDS

TikTok; Mountain View (CA); Hybrid; USD 145,000 - 250,000; Full time

Job summary

A leading technology company seeks a Machine Learning Engineer for its Trust and Safety team. This role involves developing advanced machine learning solutions to combat internet abuse and fraud, ensuring a safe platform for users. The ideal candidate will have strong programming skills, a solid understanding of machine learning techniques, and a passion for collaboration. Join a diverse team committed to innovation and user safety.

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

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Qualifications

• 2+ years’ experience for BS or 1+ years for MS/PhD.
• Hands-on experience in machine learning and related areas.

Responsibilities

• Build trust and safety machine learning models.
• Work on scalable classifiers and predictive models.
• Collaborate with teams to improve safety strategies.

Skills

Machine Learning

Deep Learning

Python

Data Mining

NLP

Education

BS degree

MS/PhD degree

Job description

Machine Learning Engineer, Trust and Safety - USDS

Machine Learning Engineer, Trust and Safety - USDS

3 weeks ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

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 the 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 identity and solve the most challenging safety and integrity problems in the internet scale.

What You'II Do
- 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

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:
- BS degree with 2+ years’ industrial experience, or a MS/PhD degree with 1+ years' relevant experience
- Hands on experience in one or more of the areas: machine learning, deep learning, pattern recognition, anomaly detection, data mining, computer vision, NLP or content understanding
-Programming skills in Python and similar languages, and a deep understanding of data structures and algorithms
- Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems.

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.


Trust & Safety
TikTok recognises that keeping our platform safe for the TikTok communities is no ordinary job which can be both rewarding and psychologically demanding and emotionally taxing for some. This is why we are sharing the potential hazards, risks and implications in this unique line of work from the start, so our candidates are well informed before joining.
We are committed to the wellbeing of all our employees and promise to provide comprehensive and evidence-based programs, to promote and support physical and mental wellbeing throughout each employee's journey with us. We believe that wellbeing is a relationship and that everyone has a part to play, so we work in collaboration and consultation with our employees and across our functions in order to ensure a truly person-centred, innovative and integrated approach.


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 $145000 - $250000 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

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

Referrals increase your chances of interviewing at TikTok by 2x

Get notified about new Machine Learning Engineer jobs in Mountain View, CA.

San Jose, CA $120,700.00-$228,600.00 1 day ago

San Jose, CA $120,700.00-$228,600.00 1 day ago

Mountain View, CA $132,000.00-$184,000.00 1 week ago

Mountain View, CA $158,000.00-$200,000.00 1 week ago

Redwood City, CA $123,000.00-$185,000.00 6 months ago

Software Engineer, AI Platform - New Grad

New Grads 2025 - Software Engineer - Computer Vision/Deep Learning

San Jose, CA $120,000.00-$165,000.00 6 months ago

Sunnyvale, CA $56.25-$173,000.00 1 week ago

San Jose, CA $119,000.00-$177,000.00 2 weeks ago

San Jose, CA $113,500.00-$250,000.00 2 weeks ago

Data Scientist (L5) - Product Promotion & Algorithm Performance

New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 7 months ago

Fremont, CA $145,000.00-$204,000.00 1 week ago

Mountain View, CA $167,200.00-$250,800.00 1 week ago

Palo Alto, CA $100,000.00-$160,000.00 3 weeks ago

Machine Learning Research Scientist, Active Learning

Mountain View, CA $167,200.00-$250,800.00 3 weeks ago

San Jose, CA $113,500.00-$250,000.00 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.