Machine Learning Engineer, Account Integrity

TikTok; San Jose (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer focused on account integrity. In this role, you'll develop innovative machine learning solutions to tackle pressing challenges in user safety and engagement authenticity. You'll work with cutting-edge technologies to enhance systems that protect users and ensure a secure platform experience. This position offers a unique opportunity to contribute to key security initiatives and drive impactful changes in a dynamic environment. If you're passionate about machine learning and eager to make a difference, this is the perfect opportunity for you.

Qualifications

• Master's degree in relevant fields with strong machine learning background.
• Proficiency in Linux and big data tools like Hadoop and Spark.

Responsibilities

• Build machine learning solutions to mitigate business risks.
• Improve modeling infrastructures and algorithms for robustness.

Skills

Machine Learning

Critical Thinking

Data-Driven Decision Making

Education

Master's Degree in Computer Science

Master's Degree in Statistics

Tools

Linux

Hadoop

Hive

Spark

Storm

Job description

Machine Learning Engineer, Account Integrity

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.

Why Join Us: Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

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 to 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, 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), etc.

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. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system. The work needs to be fast, transferrable, while still down to the ground to making quick and solid differences.

Responsibilities:

1. Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
2. 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.
3. Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.

Qualifications

Minimum Qualifications:

1. Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
2. Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
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, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Preferred Qualifications:

1. 2 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