Senior Machine Learning Engineer Manager - TikTok Trust & Safety

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.
• Our global, diverse teams make that possible.
• Together, we create value for our communities, inspire creativity and bring joy.
• 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.
• When we create and grow together, the possibilities are limitless.

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. We are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.

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.

Responsibilities - What You'll 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

Minimum 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

Compensation Description (Annually)

• The base salary range for this position in the selected city is $308000 - $588000 annually.
• Compensation may vary depending on qualifications, skills, competencies, experience, and location.
• Base pay is one part of the Total Package including discretionary bonuses/incentives, and restricted stock units.

Benefits

• Employees have day one access to 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 (prorated upon hire with increasing accruals by tenure)

Legal Notice for Los Angeles County Candidates

Qualified applicants with arrest or conviction records will be considered 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. Criminal history may affect job duties involving interaction with clients/colleagues, handling confidential information, and exercising sound judgment.