Senior Machine Learning Engineer - TikTok Privacy

San Jose, CA, United States

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

We built TikTok as a trusted platform to inspire creativity and enrich life. Our Privacy and Security team ensures user protection on our platform by promoting privacy by design. As data is the cornerstone of privacy, safeguarding user data is one of our primary objectives. Data-driven and AI-driven privacy modeling technologies are emerging areas that are yet to be well-defined in our industry. By joining the team, you will have the opportunity to refine the privacy-aware data understanding and perception framework, utilize advanced privacy technology and AI techniques to ensure our users’ privacy across TikTok's products and platforms. Simultaneously, we are conducting applied research on state-of-the-art methods in related fields. You will have numerous opportunities to explore a wide variety of scenarios and undertake cutting-edge research work to impact billions of users and customers.

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. This includes, but is not limited to, the development of content generation, reasoning, and code generation.

• Explore cutting-edge technologies related to NLP and apply them to scenarios focused on privacy.

Qualifications

• 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. These areas include, but are not limited to: text classification, similarity matching, dialogue question and answer, machine translation, knowledge graph construction, intention understanding, sentiment analysis, among others.

• Demonstrated hands-on abilities, proficiency in at least one framework such as TensorFlow or PyTorch, including its training and deployment specifics. Familiarity with commonly used machine learning and deep learning algorithms, as well as 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. Practical experience in relevant business scenarios is preferred.

TikTok is 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 so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at [email protected].

Job Information:

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $194000 - $355000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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