Tiktok - San Jose, CA

posted 4 days ago

Full-time - Mid Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The Governance and Experience team of e-commerce is responsible for ensuring the safety and trustworthiness of the marketplace for our users, sellers, and creators. We value user satisfaction by working on policies, rules, and systems to ensure quality. We are looking for a Machine Learning Engineer who is passionate about building systems to detect various risks that can undermine platform trust. This role involves designing and implementing algorithms to detect and control risks and fraud in content, products, sellers, and creators. The successful candidate will collaborate with the strategy team, product managers, policy team, and operations team to help define products and drive initiatives from an engineering perspective. At TikTok, we believe that every challenge is an opportunity to learn, innovate, and grow as a team. We are 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 we aim to reflect the diverse communities we serve. We are passionate about inspiring creativity and bringing joy, and we hope to find candidates who share this vision.

Responsibilities

  • Design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators.
  • Collaborate with strategy team, product managers, policy team, and ops team to define products and drive initiatives from engineering viewpoints.

Requirements

  • Bachelor's degree in Computer Science or related technical field.
  • 3+ years of working experience in machine learning, NLP, or computer vision.
  • Experience with software development in at least one of the following programming languages: C++, Python, Go, Java.
  • Experience in anti-fraud/anti-spam/platform-integrity or related fields is a plus.
  • Strong sense of responsibility and good communication and teamwork skills.

Nice-to-haves

  • Experience with large-scale data processing frameworks.
  • Familiarity with cloud computing platforms such as AWS or Google Cloud.
  • Knowledge of data privacy regulations and compliance.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% for dependents.
  • Health Savings Account (HSA) with company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
  • Flexible Spending Account (FSA) options for healthcare and dependent care.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO).
  • 10 paid sick days per year.
  • 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
  • Mental and emotional health benefits through EAP and Lyra.
  • 401K company match.
  • Gym and cellphone service reimbursements.
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