Tiktok - Seattle, WA

posted 27 days ago

Full-time - Senior
Seattle, WA
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 a Senior Machine Learning Engineer, you will be at the forefront of developing advanced privacy-aware data understanding and perception frameworks. This role involves utilizing cutting-edge AI techniques to safeguard user data across TikTok's products and platforms. You will have the opportunity to conduct applied research on state-of-the-art methods in privacy and security, impacting billions of users and customers. In this position, you will lead the analysis of massive textual and non-textual information related to privacy data using natural language processing (NLP) algorithms. Your responsibilities will include developing highly-scalable classifiers, predictive models, and algorithms, focusing on text classification, knowledge graph construction, and intelligent dialogue. You will also implement relevant applications in privacy and security, including content generation, reasoning, and code generation. Exploring and applying cutting-edge technologies related to NLP to privacy-focused scenarios will be a key aspect of your work. The role requires a solid foundation in NLP algorithms, with practical experience in various areas such as text classification, similarity matching, dialogue question and answer, machine translation, knowledge graph construction, intention understanding, and sentiment analysis. You will need to demonstrate hands-on abilities with frameworks like TensorFlow or PyTorch, along with exceptional coding skills in programming languages such as Python, Go, or C++. Strong communication skills and the ability to work collaboratively in a team are essential for success in this role.

Responsibilities

  • Lead the analysis and understanding of massive textual and non-textual information within the realm of privacy data using natural language processing algorithms.
  • Develop highly-scalable classifiers, predictive models, and algorithms, with a particular emphasis on areas such as text classification, knowledge graph construction, and intelligent dialogue.
  • Implement relevant applications in the fields of privacy and security, including the development of content generation, reasoning, and code generation.
  • Explore cutting-edge technologies related to NLP and apply them to scenarios focused on privacy.

Requirements

  • Bachelor's degree in Computer Science or a related technical field with at least 5 years of working experience.
  • A solid foundation in NLP related algorithms, with comprehensive study and practical experience in specific areas of natural language processing.
  • Demonstrated hands-on abilities, proficiency in at least one framework such as TensorFlow or PyTorch, including its training and deployment specifics.
  • Exceptional coding skills, with proficiency in at least one programming language such as Python, Go, or C++, and a solid foundation in algorithms and data structures.
  • Strong team player with excellent communication skills. Practical experience in relevant business scenarios is preferred.

Nice-to-haves

  • Familiarity with commonly used machine learning and deep learning algorithms.
  • Experience in practical business scenarios related to privacy and security.

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) 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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