Senior Machine Learning Engineer Manager - TikTok Trust & Safety

TikTok Inc.; San Jose (CA); Presencial; USD 308.000 - 588.000; Jornada completa

Descripción de la vacante

TikTok Inc. is seeking a senior ML leader for Trust and Safety in California.

You will design next-generation LLM-based moderation solutions, build scalable classifiers, and deploy model pipelines at scale, collaborating closely with engineering, product, and data analytics teams. The role emphasizes Python, PyTorch, TensorFlow, and strong communication skills, with preferred experience in trust and safety domains.

Formación

• At least 1 year of people management experience.
• Proficient in PyTorch and TensorFlow, and programming languages Python or Java.
• Good programming skills in Python and understanding of data structures and algorithms.
• Good communication and teamwork skills, passionate about learning new techniques.

Responsabilidades

• Play a key role in designing next generation LLM based moderation solutions.
• Work on highly-scalable classifiers, predictive models and algorithms with cutting-edge technologies.
• Work with engineering teams to implement model pipeline and deploy the service at scale.
• Collaborate with product teams to define objectives and improve trust and safety strategy.
• Collaborate with data analysts to understand and find data patterns.

Conocimientos

Deep learning

Python

Java

People management

Communication skills

teamwork

Herramientas

PyTorch

TensorFlow

Descripción del empleo

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 state-of-the-art machine learning technologies and scale them to moderate the tremendous amount of data generated on the platform. With our team's continuous efforts, TikTok can provide the best user experience and bring joy to everyone in the world.

Responsibilities - What You'II Do

• Play a key role in designing next generation LLM based moderation solutions
• Work on highly-scalable classifiers, predictive models and algorithms with cutting-edge technologies
• Work with engineering teams to implement model pipeline and deploy the service at scale
• Collaborate with product teams to define objectives and improve trust and safety strategy
• Collaborate with data analyst to understand and find data patterns

Qualifications

• - At least 1 year of people management experience
• - Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
• - Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms
• - Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems

Preferred Qualification:

• - Experience in trust and safety areas is a plus
• - 5+ years hands-on experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio, content understanding or participating in large-scale online machine learning platforms are preferred
• - Skilled in LLM, Multimodal LLM and downstream applications are preferred

Job Information

Compensation Description (annually)

The base salary range for this position in the selected city is $308000 - $588000 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. 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. 3. Exercising sound judgment.