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Machine Learning Engineer, Core Feed Recommendation - San Jose, CA, United States - TikTok
Description
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, Mumbai, Singapore, 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 Team
TikTok RecCore Dedup team conducts research and introduces cutting-edge AI technologies to our products. In order to provide the best user experience, we build large-scale systems and support various production strategies including video deduplication, originality recognition, copyright detection, content safety, and content moderation.
Responsibilities
- Build the Dedup and Copyright system, supports billions of users all over the world
- Based on the product requirements, develop models and systems to detect duplicated and similar materials among billions of videos
- Introduce new AI technologies to our online system and improve the performance
- Improve the reliability of the system, manage the challenges of scale and complexity
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
- Work with the relevant software platforms in which the models are deployed Qualifications Qualifications
- Bachelor or higher degrees in computer science or related discipline;
- Min 1 year of experience in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.
- Experienced in Multimedia or Computer Vision, e.g. Image/Video/Audio retrieval, Representation Learning, Re-Identification, Unsupervised/Self-supervised learning.
- Experience or knowledge of recent advances of LLMs, VLMs etc.
Preferred Qualifications
- Authors of published papers in top academic conferences;
- Winners of algorithm and machine learning competitions such as ACM and Kaggle. 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 Job Information: 【For Pay Transparency】Compensation Description (annually)
The base salary range for this position in the selected city is $ $221760 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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Machine Learning Engineer, Core Feed Recommendation professionals in San Jose
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Irina Max
Principal Lead Data Scientist/Manager