Machine Learning Intern (E-Commerce Recommendation/Search Alliance) - 2024 Summer (BS/MS) San JoseInternR&D - Machine learningUndergrad/Master Intern- 2024 StartJob ID: A93937 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. Team Introduction The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2024. Successful candidates must be able to commit to one of the following summer internship cycles below: 1.May 20, 2024 to August 9, 2024 2.May 27, 2024 to August 16, 2024 3.June 10, 2024 to August 30, 2024 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Develop advanced machine learning techniques to boost our recommendation systems. - Leverage ML, NLP, and computer vision to understand e-commerce behaviors. - Implement and uphold real-time recommendation models. - Dive into datasets to extract insights for strategic direction. - Keep abreast of the latest in machine learning to bring innovation. Qualifications - Pursuing a BS or MS in Computer Science, Engineering, Operations Research, or related. - Strong grasp of data structures, algorithms, and top-notch problem-solving skills. - Profound knowledge in machine learning, statistics, and big data engineering. - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: - Prior software engineering exposure: internships, work, coding contests, or publications. - Experience or research in e-commerce, recommendation, or search engines. - Contributions to conferences like KDD, NeurIPS, WWW, and more. - An entrepreneurial spirit and excitement for emerging tech. - Exceptional creativity and swift problem-solving ability. 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 earlycareers.accommodations@tiktok.com. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. Job Information 【For Pay Transparency】Compensation Description Intern (hourly) The hourly rate range for this position in the selected city is $45- $45. We cover 100% premium coverage for Full-Time intern medical insurance after 90 days from the date of hire. Medical coverage only, no dental or vision coverage.​ Our time off and leave plans are: Paid holidays and paid sick leave. The sick leave entitlement is based on the time you join.​ We also provide mental and emotional health benefits through our Employee Assistance Program and provide reimbursements for your mobile phone expense. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​ Apply Share to

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TikTok

TikTok is looking for a Machine Learning Intern for the e-commerce alliance team for the summer of 2024. The intern will be responsible for developing advanced machine learning techniques to boost our recommendation systems, leveraging ML, NLP, and computer vision to understand e-commerce behaviors, implementing and upholding real-time recommendation models, diving into datasets to extract insights for strategic direction, and keeping abreast of the latest in machine learning to bring innovation. The ideal candidate is pursuing a BS or MS in Computer Science, Engineering, Operations Research, or related, has a strong grasp of data structures, algorithms, and top-notch problem-solving skills, profound knowledge in machine learning, statistics, and big data engineering, and must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Machine Learning Intern (E-Commerce Recommendation/Search Alliance) - 2024 Summer (BS/MS)

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