San Jose, CA
2 months ago

Job Overview

Job Type
Mid Level | Data and Analytics
Pay
The base salary range for this position in the selected city is $254400 - $588000 annually.

Job description

Salary:
USD 254,400 - 588,000 per year
Location:
San Jose, CA
Work arrangement:
On-site

Multi-modal Machine Learning Engineer (all levels) - Trust and Safety at TikTok in San Jose, CA.

Responsibilities

Our Trust and Safety team is fast growing and responsible for building machine learning models and systems to protect our users from the impact of negative content. 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 moderate 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 excellent machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. 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.

You will be evaluated for five sub-teams working on various areas of Trust and Safety during the general hire process.

Responsibilities - What You'II Do

  • Lead and build content understanding models for content moderation.
  • Work on state-of-the-art content understanding techniques including but not limited to unimodal/multimodal content classifiers, graph models, representation learning models, and LLM.
  • Collaborate with product teams to define business objectives and improve trust and safety strategy.
  • Collaborate with engineering teams to deploy machine learning models, design online model workflow, and implement serving pipeline at scale.
  • Collaborate with data scientist team to understand the key challenges and propose data-driven strategies.

Requirements

  • BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, .
  • Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal/Graph/LLM), statistical models and applied mathematical methods.
  • Strong coding skills, especially in Python and similar languages.
  • Curiosity towards new technologies and entrepreneurship, good communication and teamwork skills.

Preferred Qualifications

  • Ph.D. in LLM, VLM or equivalent experience
  • Strong background in LLM, multimodal modeling, representation learning and/or publications in AI/ML conferences are a plus.
  • Understanding of the business value of content understanding and content moderation.
  • Experience in developing online ML systems including ranking, retrieval.

Job Information

[For Pay Transparency] Compensation Description (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.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.

Additional Information

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.
Role:
Multi-modal Machine Learning Engineer (all levels) - Trust and Safety
Job Type:
Mid Level | Data and Analytics

Company profile

TikTok operates a short-form mobile video platform where people create videos on their smartphones and share them with a community of viewers. Its feed recommends content tailored to each user, with communities around books, learning, gaming, food and sports. TikTok's global headquarters are in Los Angeles and Singapore, and the company has offices in Berlin, Dubai, Dublin, Jakarta, London, Mexico City, New York, Paris, Sao Paulo, San Jose, Seoul, Sydney and Tokyo.

Headquarters
Los Angeles, California, United StatesSingapore, Singapore
Founded
2016

More jobs at TikTok

Similar Machine Learning Engineer jobs at other companies