ResponsibilitiesTikTok 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 UsAt TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.Our Business Integrity team has a strong user focus and a dedication to technical excellence. We aim to meet our users’ needs with reliable and high-performing platforms and services. We are looking for strong machine learning engineers who are excited to grow their business understanding, build highly scalable machine learning models, and partner across disciplines with global teams, in pursuit of excellence. Given the fast growth of TikTok in the world, we are working on building a next-generation content understanding system for TikTok monetization. We are seeking machine learning engineers at all levels experienced in machine learning, which can help us create an ecosystem that rewards high quality user experience and advertiser value. Responsibilities1. Be responsible for content understanding of commercial products, such as ads, e-commerce, short video, and live streaming.2. Be responsible for data mining, feature engineering, and building scalable machine learning models to establish monetization ecology.3. Optimize computational efficiency and improve stability of machine learning models to deal with billion scale business data.4. Based on business data, explore and implement various cutting-edge technologies, such as pre-training, self-supervised learning, few-shot learning, etc.5. Explore state-of-the-art AIGC techniques and build a new generation of AIGC-based monetization ecology systems.Qualifications1. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.2. Have a solid foundation with common machine learning related techniques and algorithms (e.g. classification, clustering, regression, etc.). Be proficient with at least one deep learning framework (e.g. PyTorch,TensorFlow).3. Related experience in at least one of the following areas a. Be familiar with computer vision related tasks. Have rich experience in at least one aspect, such as image/video classification, object detection, image/video retrieval, OCR, image segmentation, etc. b. Be familiar with NLP-related tasks. Have experience in at least one aspect, such as text classification, semantic analysis, sentiment analysis, NER, etc. c. Be familiar with audio-related tasks. Have experience in at least one aspect, such as ASR, AED, LID, etc. d. Be familiar with multimodal machine learning, large-scale multimodal pre-training, etc. e. Be familiar with the theory and application of graph networks, knowledge graphs, and have relevant experience. f. Be familiar with model acceleration techniques such as pruning, quantization, distillation, etc.; Have relevant experience in deploying models using frameworks such as TensorRT.4. Solid programming foundation. Be familiar with basic data structures and algorithms.5. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.6. Having published papers in top AI conferences or journals (CVPR, ICCV, ECCV, TPAMI, IJCV, ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, etc.) is a plus.7. Being familiar with generative models is a plus, such as GPT, Stable Diffusion, etc.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 tt.accommodations@tiktok.comJob Information【BC - For Pay Transparency】Compensation Description (annually)The base salary range for this position in the selected city is CAD$ 117000- CAD$ 210960 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.​The compensation for this position is based on a monthly compensation structure. The range specified is the expected annual compensation for a person in this position.​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 and dependent's extended health care insurance. As well as Short/Long term Disability, Basic Life, Survivor Benefit and AD&D insurance plans.​Our time off and leave plans are: 11 paid holidays per year plus 19 days of vacation (prorated upon hire and increased by tenure) and 7 paid sick days per year as well as 13 weeks of supplemental paid maternity leave top-up and 10 weeks of Supplemental Paid Parental Leave top-up.​We also provide generous benefits such as RRSP company match, EAP, gym and cell phone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​