ResponsibilitiesAbout TikTok U.S. Data SecurityTikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on thiscommitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.Why Join UsCreation 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.About the TeamOur team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities- Analyze user behavior and apply machine learning (ML) algorithms to optimize content consumption and production experience by understanding product objectives and ML techniques to improve model and recommendation strategy.- Design and apply ML algorithm and recommendation strategies to improve users’ experience on platform and content, including videos and livestreams.- Build industry leading recommendation system, and develop highly scalable classifiers and tools leveraging ML.- Build full-stack search engine system and combine information retrieval technology with modern ML methods from related fields such as natural language processing (NLP), Computer Vision (CV), and recommender system.- Work on highly scalable classifiers, predictive models and algorithms in big data mining, CV, NLP, and other domains.- Work with engineering teams to implement model pipeline and deploy services at scale.- Conduct offline and online experiments, analyze data accordingly and evaluate to improve algorithms and strategies.- Work with Data Engineers, Data Analysts, Product and other engineers to deliver features to drive the user growth of products.- Build the core systems and algorithms development including query understanding, result ranking, query recommendation, and system reliability.- Partner with product managers and product strategy and operation team to define product strategy and features.- Collaborate with strategy team, product managers, policy team and other key stakeholders to define products and drive initiatives from engineering viewpoint.- Work with large, complex data sets to solve difficult, non-routine analysis problems by applying advanced analytical methods as needed.QualificationsMust have a Master's degree in Computer Science, Engineering (any), Information Technology, Transportation Systems, Logistics, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 4 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology,Transportation Systems, Logistics, Operations Research, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 6 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.Of the required experience, must have 4 years of experience in each of the following:- Using SQL and Spark to perform large-scale dataset analysis, including statistical, user behavior, probability distribution, and time series analyses; and- Coding using Python or C++.Of the required experience, must have 3 years of experience in each of the following:- Building end-to-end model training pipelines using Python and Hadoop MapReduce, and training large-scale models using deep learning and machine learning;- Researching, testing and productionizing state-of-the-art deep learning models and methods;- Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; and - Programming using Python and PyTorch to build large-scale learning systems.Employer: TikTok U.S. Data Security Inc.Type: Full time, 40 hours/weekLocation:Mountain View, CASalary Range: $295194 - $410000 per yearTo Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.TikTok U.S. Data Security 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 U.S. Data Security, 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 U.S. Data Security 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 lpresumes@tiktokusds.com#LI-DNI#IND-DNIJob Information【For Pay Transparency】Compensation Description (annually)The base salary range for this position in the selected city is $295194 - $410000 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.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and3. Exercising sound judgment.
