Machine Learning Engineer, Advertising Auti-Fraud, Pangle-USDS
Role details
Job location
Tech stack
Job description
About the team Pangle is the ad network of TikTok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximize revenue by accessing TikTok's global advertising demand. Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide. The Pangle anti-fraud team aims to ensure the security and rights of both ends (advertiser & publisher) of the platform, reduces traffic risks from developers, improves the security of platform traffic, and ensures the delivery experience of advertisers. Responsibilities - Invent, implement, and deploy various forecasting, machine learning, deep learning and graph algorithms, to respond to and mitigate business risks in Pangle. - 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. - Collaborate with product, operations, engineering and business backgrounds to enhance current automation risk troubleshooting processes and translate algorithmic capabilities into scalable production systems.
Requirements
Do you have experience in Predictive modeling analysis?, Minimum Qualifications: - Algorithmic Foundation: Proficiency in classification, clustering, sequence modeling and graph algorithms. - Engineering Skills: Familiar with Python, Go or C++. Knowledge of Hive, Spark or Flink. Skilled at learning and applying industry-leading technologies is a plus. - Strong hands-on practical skills: familiar with problem-analysis, model training and model deployment, and able to apply algorithms to risk control business and verify their effectiveness. - Strong logical thinking and data sensitivity. Demonstrated passion for risk control and adversarial challenges. Excellent communication and teamwork skills. Preferred Qualifications: -Ads relevant experience is a big plus
Benefits & conditions
(part of ByteDance) 3.33.3 out of 5 stars San Jose, CA Hybrid work $122,574 - $259,200 a year, Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Paid sick time, The base salary range for this position in the selected city is $122574 - $259200 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:
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Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
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Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
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Exercising sound judgment. About USDS