- Participate in the development of massive knowledge graphs of real-world products to support feed ranking, recommendations, and ads.
- Collaborate with product managers, data scientists, and the product strategy & operation team to define product strategies and features
- Knowledge graph construction, including product/content/feedback understanding and category/brand/SPU construction.
- Construct knowledge graphs of buyers and products
- Bachelor's degree in Computer Science or related technical field
- 3+ working experience in one of the following fields: machine learning, NLP(Natural Language Processing), multimodal, and computer vision
- Experience with software development in at least one of the following programming languages: C++, Python, Go, Java
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred
- Proficient in using at least one mainstream deep learning frameworks such as TensorFlow/PyTorch, understanding distributed training, distillation acceleration, and other implementation methods.
- Experience in text classification, text matching, sequence labeling, and knowledge graph.
- Aware of certain processing methods and optimization experience on domain adaptation, small sample construction, text mining, unsupervised/semi-supervised and other similar issues.
- Familiar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning.
- Experience in large-scale text data processing or cleaning (Such as using Hadoop/Spark/Hive/Flink).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.
Machine Learning Engineer(NLP/CV/Multimodal), E-commerce Knowledge Graph - San Jose, 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, 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.Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants' service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform.
More specifically, our team is responsible for the algorithms of Product Knowledge Graphs under TikTok's global e-commerce business.What you will do:
Responsibilities:
Qualifications Minimum Qualifications:
Preferred Qualifications:
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 Information[For Pay Transparency] Compensation Description (annually) The base salary range for this position in the selected city is $ $280000 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.