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求人TikTok

Machine Learning Engineer - TikTok BRIC

TikTok

Machine Learning Engineer - TikTok BRIC

TikTok

Singapore

·

On-site

·

Full-time

·

2mo ago

福利厚生

Learning

Equity

Healthcare

必須スキル

Airflow

PyTorch

TensorFlow

Responsibilities

Tik Tok is the leading destination for short-form mobile video. At Tik Tok, our mission is to inspire creativity and bring joy. Tik Tok'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 Tik Tok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At Tik Tok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.
The Business Risk Integrated Control (BRIC) team is missioned to:

  • Protect Byte Dance users, including and beyond content consumers, creators, advertisers;
  • Secure platform health and community experience authenticity;
  • 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 Byte Dance platforms (e.g. Tik Tok, Cap Cut,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:

  • Develop machine learning solutions to proactively address and mitigate business risks across Byte Dance products and platforms. These risks include, but are not limited to, abusive accounts, fake engagements, spam redirection, scraping, fraud, and others.
  • Enhance modeling infrastructure, labeling processes, feature engineering, and algorithms to improve robustness, automation, and generalization, while reducing both modeling and operational burden on risk management teams and easing the integration of new products and risk areas.
  • Drive improvements in risk-related machine learning practices, focusing on privacy and compliance, interpretability, and advanced risk perception and analysis.

Qualifications

Minimum Qualifications:

  • Degree or above in computer science, statistics, or other relevant, machine-learning-heavy majors.
  • Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
  • 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.
    Preferred Qualification:
  • Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.
    Tik Tok 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. At Tik Tok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

総閲覧数

2

応募クリック数

0

模擬応募者数

0

スクラップ

0

TikTokについて

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

従業員数

Los Angeles

本社所在地

$220B

企業価値

レビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.2

経営陣

2.9

68%

友人に勧める

良い点

Great team dynamics and support

Innovative and creative culture

Good learning opportunities

改善点

Work-life balance challenges

Fast-paced and stressful environment

High expectations and tight deadlines

給与レンジ

49件のデータ

Mid/L4

Senior/L5

Mid/L4 · Applied AI Product Data Scientist

1件のレポート

$273,000

年収総額

基本給

$210,000

ストック

-

ボーナス

-

$273,000

$273,000

面接体験

2件の面接

難易度

4.0

/ 5

期間

21-35週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Behavioral Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Culture Fit