Machine Learning Engineering Manager - TikTok BRIC Access Safety

Tiktok • San Jose, CA

70d

About The Position

The TikTok-BRIC-Access Safety team is missioned to protect the TikTok platform and users from malicious automation, fake traffic, and compromised devices. We ensure all inbound traffic and device identities remain authentic and abuse-resistant. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key security initiatives. You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolution of a phenomenal product eco-system.

Requirements

• Experienced manager with a track record of leading an MLE team.
• 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.
• Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment.

Nice To Haves

• Bachelor's or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
• Experience in safety, security, or risk control domain.
• Experience in building detection and defense solutions for Bot/large abusive traffic.
• Solid engineering skills. Proficiency in Python, SQL, Hive, Spark, Linux.

Responsibilities

• Lead and be responsible for the technical direction of access safety and continuing to innovate.
• Participate in the development of day-to-day operations and drive technical excellence.
• Partner with product leads and team to define technical roadmap and milestones and work with team to deliver.

What This Job Offers

• Career Level: Manager
• Industry: Broadcasting and Content Providers
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees