ResponsibilitiesAbout TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.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- Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to understand requirements and integrate Machine Learning (ML) solutions into our platform.- Research and develop ML models and algorithms to enhance search recommendation systems.- Analyze user behavior data to identify patterns and trends that can improve search recommendation accuracy.- Continuously optimize and fine-tune algorithms based on user feedback and performance metrics.- Conduct experiments and A/B testing to evaluate the effectiveness of different search recommendation strategies.- Stay up to date with the latest advancements in ML and recommend innovative approaches to improve our search recommendation systems.- Ensure the scalability, reliability, and efficiency of the ML infrastructure supporting search recommendation functionalities.- Collaborate with data engineers to design and maintain data pipelines for processing large-scale datasets.- Mentor junior level engineers and interns.QualificationsQualifications Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Statistics, Mathematics, ora related quantitative field, and 5 years of post-bachelor's, progressive related work experience.Of the required experience, must have 2 years of experience in each of the following:- Coding using Python or C++;- Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;- Developing code and identifying issues in Linux environment;- Developing and deploying large-scale machine learning systems; and- Utilizing Hive, Spark, Hadoop, or Flink.Type: Full time, 40 hours/weekLocation: San Jose, CASalary Range: $194000 to $355000 per yearTo Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.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 lpresumes@TikTok.com.#LI-DNI#IND-DNIJob 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.​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; and​3. Exercising sound judgment.​

Salary

$194,000 - $355,000

Yearly based

Location

San Jose

Job Overview
Job Posted:
1 week ago
Job Expires:
Job Type
Full Time

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