Senior Machine Learning Engineer - TikTok Privacy

$194,000 - $355,000/Yr

Tiktok - San Jose, CA

Full-time - Senior

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 Senior Machine Learning Engineer, you will lead the analysis and understanding of massive textual and non-textual information within the realm of privacy data using natural language processing (NLP) algorithms. Your responsibilities will include developing highly-scalable classifiers, predictive models, and algorithms, with a particular emphasis on areas such as text classification, knowledge graph construction, and intelligent dialogue. You will also implement relevant applications in the fields of privacy and security, which includes the development of content generation, reasoning, and code generation. Additionally, you will explore cutting-edge technologies related to NLP and apply them to scenarios focused on privacy, ensuring that TikTok remains at the forefront of privacy technology.

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, focusing on text classification, knowledge graph construction, and intelligent dialogue.
• Implement relevant applications in the fields of privacy and security, including content generation, reasoning, and code generation.
• Explore cutting-edge technologies related to NLP and apply them to privacy-focused scenarios.

Requirements

• Bachelor's degree in Computer Science or a related technical field with at least 5 years of working experience.
• Solid foundation in NLP related algorithms, with practical experience in areas such as text classification, similarity matching, dialogue question and answer, machine translation, knowledge graph construction, intention understanding, and sentiment analysis.
• Demonstrated hands-on abilities and proficiency in at least one framework such as TensorFlow or PyTorch, including training and deployment specifics.
• Familiarity with commonly used machine learning and deep learning algorithms, and a clear understanding of basic network model structures and text representation methods.
• 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, with practical experience in relevant business scenarios preferred.

Nice-to-haves

• Experience with large-scale data processing and analysis.
• Familiarity with privacy regulations and compliance standards.
• Experience in developing machine learning models for real-world applications.

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 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.