Staff Machine Learning Engineer, Content Safety & Ecosystem -- Multimodality

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About the Team
The Responsible Recommendation System team innovates in content understanding and recommendation system techniques to improve TikTok content safety and ecosystem. We leverage cutting-edge multi-modality modeling to develop robust, scalable solutions that safeguard user experience and drive product impact. The team is dynamic, fast-pacing, collaborative and impact-driven.

Responsibilities - What You'II Do

• Develop a critical content understanding product by leveraging cutting-edge multi-modality models.
• Innovate on multi-modality and recommendation system techniques to build end-to-end scalable solutions.
• Collaborate with engineers from diverse technical backgrounds and cross-functional teams to integrate advanced modeling techniques into production.
• Drive data-driven improvements by conducting rigorous analysis and experiments to address complex ecosystem challenges.

Qualifications

Minimum Qualifications

• Bachelor's degree in computer science or a related field, with relevant work experience.
• Hands-on experience working on multi-modality models and building robust machine learning infrastructure.
• Experience with at least one programming language like C++/Python or equivalent.
• Strong statistical background with clear reasoning for conceptualizing and analyzing complicated content safety and ecosystem challenges.
• Demonstrated ability in designing scalable machine learning products with a keen product design and abstraction sense.
• Excellent communication and teamwork abilities, with a proven track record of collaborating in cross-functional settings.

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 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://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $224000 - $410000 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.