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, with a mission to inspire creativity and bring joy. The Privacy and Security team at TikTok plays a crucial role in ensuring user protection by promoting privacy by design. As data is the cornerstone of privacy, safeguarding user data is one of our primary objectives. The team is focused on developing data-driven and AI-driven privacy modeling technologies, which are emerging areas in the industry that are yet to be well-defined. By joining this team, you will have the opportunity to refine the privacy-aware data understanding and perception framework, utilizing advanced privacy technology and AI techniques to ensure user privacy across TikTok's products and platforms. This role also involves conducting applied research on state-of-the-art methods in related fields, providing numerous opportunities to explore a wide variety of scenarios and undertake cutting-edge research work that impacts billions of users and customers. As a Machine Learning Engineer focused on privacy, you will be responsible for developing highly-scalable classifiers and algorithms using natural language processing (NLP) algorithms, particularly in areas such as text classification, knowledge graph construction, and sequence tagging. You will implement relevant applications in the fields of privacy and security, including the development of content generation, code generation, and intelligent dialogue systems. This position requires a solid foundation in NLP-related algorithms, extensive hands-on experience in specific areas of natural language processing, and strong coding skills in programming languages such as Python, Go, or C++. You will work collaboratively within a team, leveraging your excellent communication skills to contribute to the success of the projects.

Responsibilities

  • Develop highly-scalable classifiers and algorithms using natural language processing algorithms, focusing on text classification, knowledge graph construction, and sequence tagging.
  • Implement applications in the fields of privacy and security, including content generation, code generation, and intelligent dialogue systems.
  • Explore and apply cutting-edge technologies related to NLP in scenarios focused on privacy.

Requirements

  • Bachelor's degree in Computer Science or a related technical field with at least 3 years of professional working experience.
  • Solid foundation in Natural Language Processing (NLP) algorithms with hands-on experience in areas such as text classification, similarity matching, dialogue question and answer, machine translation, knowledge graph construction, intent understanding, and sentiment analysis.
  • Strong coding skills in at least one programming language such as Python, Go, or C++, with a robust foundation in algorithms and data structures.
  • Excellent communication skills and a strong team player. Practical experience in relevant business scenarios is preferred.

Nice-to-haves

  • Experience with advanced privacy technology and AI techniques.
  • Familiarity with privacy-aware data understanding and perception frameworks.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a 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 for Health Care, Limited Purpose, and Dependent Care.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 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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