(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety San Jose Technology - Algorithm Regular

TikTok; San Jose (CA); Hybrid; USD 162,000 - 388,000; Full time

Benefits offered by this job

Medical insurance

Dental/Vision

401(k) Match

Parental Leave

Disability Insurance

Life Insurance

Wellbeing benefits

Paid holidays

Sick days

Personal Time Off

Job summary

TikTok is seeking a Multi-modal Machine Learning Engineer for its Trust and Safety team in San Jose. You will design and deploy advanced ML solutions to protect users and publishers worldwide, collaborating with product, engineering, and data science teams to address challenging safety problems at internet scale.

The role requires hands-on ML expertise (CV/NLP/Multimodal/LLM), strong Python coding, and a proactive, collaborative mindset.

Qualifications

• BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience.
• Hands-on experience in machine learning areas (CV/NLP/Multimodal/Graph/LLM) and statistical methods.
• Strong coding skills, especially in Python or similar languages.
• Curiosity toward new technologies and entrepreneurship, good communication and teamwork skills.

Responsibilities

• Lead and build content understanding models for content moderation.
• Work on state-of-the-art content understanding techniques (unimodal/multimodal classifiers, graph models, representation learning, LLM).
• Collaborate with product teams to define objectives and improve trust and safety strategy.
• Collaborate with engineering teams to deploy models and design scalable online workflow and serving pipelines.
• Collaborate with data science team to understand challenges and propose data-driven strategies.

Skills

Machine Learning

Python

Teamwork

Communication

Software Engineering

Education

BS/MS in CS/Statistics/OR/Math/Physics

Job description

(General Hire) Multi-modal Machine Learning Engineer - Trust and Safety

Location:

San Jose

Employment Type:

Regular

Job Code:

A201165

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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.

• 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.

Minimum Qualifications

• BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with 2+ years of related experience.
• 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

• Experience 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

The base salary range for this position in the selected city is $162000 - $387600 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

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 https://tinyurl.com/RA-request