Senior Machine Learning Engineer, TikTok BRIC Access 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.
• 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 embrace challenges and foster an "Always Day 1" mindset.

Diversity & Inclusion

• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
• We celebrate diverse voices and create an environment reflecting the many communities we reach.

TikTok Accommodation

TikTok provides reasonable accommodations in recruitment for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. Assistance or accommodation requests can be made at https://tinyurl.com/RA-request

Responsibilities

• Build machine learning solutions to respond to and mitigate automated traffic to TikTok products/platforms. Such solutions include but are not limited to analyzing data collected by client-side security SDKs, anomalies in client environments and user behaviour.
• Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
• Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Minimum Qualifications

• Solid engineering skills. Proficiency in Python, SQL, Hive, Spark, Linux.
• Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
• Ability to think critically, objectively, rationally. Reason and communicate in a result-oriented, data-driven manner.

Preferred Qualifications

• Bachelors or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
• 3 years of industry experience in a software development environment.
• Experience in building detection and defense for Bot/large abusive traffic.

Compensation

• Base salary range: $212,800 - $387,600 annually.
• Compensation may vary depending on qualifications, skills, competencies, experience, and location.
• Eligible for additional discretionary bonuses/incentives and restricted stock units.

Benefits

• 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 federal, state, and local laws including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
• Criminal history may affect job duties involving client/colleague interaction, handling confidential information, and exercising sound judgment.