Senior Machine Learning Engineer, TikTok Anti-Automation

Company:  TikTok
Location: San Jose
Closing Date: 23/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

The Business Risk Integrated Control (BRIC) team is missioned to:

  1. Protect TikTok users, including and beyond content consumers, creators, advertisers;
  2. Secure platform health and community experience authenticity;
  3. Build infrastructures, platforms and technologies, as well as collaborate with many cross-functional teams and stakeholders.

The BRIC team works to minimize the damage of inauthentic behaviors on TikTok platforms (e.g. TikTok, CapCut, Resso, Lark), covering multiple classical and novel community and business risk areas such as account integrity, engagement authenticity, anti-spam, API abuse, growth fraud, live streaming security, and financial safety (ads or e-commerce). In this team, you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives, especially in building scalable and robust, intelligent and privacy-safe, secure and product-friendly systems and solutions.

Responsibilities:
  1. 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 behavior.
  2. Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation and generalization, reducing modeling and operational load on risk adversaries and new product/risk ramping-ups.
  3. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

Minimum Qualifications:
  1. Bachelor's or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
  2. Solid engineering skills. Proficiency in Linux, Hive, Spark.
  3. 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.
  4. Ability to think critically, objectively, and rationally. Reason and communicate in a result-oriented, data-driven manner. High autonomy.

Preferred Qualifications:
  1. 3 years of industry experience in a software development environment.

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 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 this link .

Job Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $194000 - $355000 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
  • Mental and emotional health benefits through our EAP and Lyra.
  • A 401K company match, gym and cellphone service reimbursements.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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