Tiktok - San Jose, CA

posted 2 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. As part of the Business Integrity team, we focus on building industry-leading Risk Control systems that enhance user experience and establish trust between customers and business service providers. We are looking for strong software engineers who are excited to grow their business understanding, build highly scalable and reliable software, and collaborate across disciplines with global teams. This role offers the opportunity to gain experience in building modern user-centric applications and highly scalable machine learning infrastructure using cutting-edge technologies. You will also learn comprehensive domain knowledge in ads moderation and risk control, which is crucial for understanding fraud, risk, quality control, and online advertising. In this position, you will be responsible for building highly scalable systems, including ad fraud detection and risk control systems, to improve user experiences with ads across the platform. You will collaborate with strategy makers and machine learning engineers to develop the next-generation Risk Engine and ML training and serving framework. Your contributions will be vital to the success of our rapidly growing organization, and you will analyze product objectives with the Product and UX Design teams to ensure alignment with project goals. This role requires managing project priorities, deadlines, and deliverables in a fast-paced environment, making it essential to have excellent communication and collaboration skills.

Responsibilities

  • Build highly scalable systems including ad fraud detection, risk control, and ads integrity systems to improve user experiences with ads across the platform.
  • Collaborate with strategy makers and machine learning engineers to build next-gen Risk Engine and ML training and serving framework.
  • Contribute to the success of a rapidly growing and evolving organization with speediness and quality.
  • Analyze product objectives with Product team and UX Design team to deliver results aligned with project goals.
  • Collaborate with PM and R&D teams globally, in a fast-paced environment.
  • Manage project priorities, deadlines, and deliverables.

Requirements

  • BS/MS degree in Computer Science, Computer Engineering or other relevant majors with 3+ years of work experience.
  • Excellent programming, debugging, and optimization skills in general purpose programming languages.
  • Ability to think critically and to formulate solutions to problems in a clear and concise way.
  • Extensive knowledge of modern software tech stack, including large-scale backend, data pipeline, web applications.
  • Proactive communication with stakeholders.

Nice-to-haves

  • Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python.
  • Deep understanding in one of the following domains: ad fraud detection, risk control, quality control, business integrity, and online advertising systems.
  • Deep knowledge in one of the following areas: machine learning/deep learning, large-scale systems, data, full-stack.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents.
  • Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • Flexible Spending Account (FSA) Options like Health Care, Limited Purpose and Dependent Care.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure).
  • 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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