目前在美国，在加拿大 温哥华 找工作可能性

saltyAlco 发表于 2023-7-22 16:27
市场上大把持有开放工签的人 从公司角度 招聘你没有很大附加价值的话 不合算 因此概率很低 跟美国完全不 ...

美国也是先紧着本国人，之所以看着很多外国人是，实际情况下，具体谈薪酬的时候，知道你要帮忙办H1B可以把你的工资压低一点，所以实际上作为公司来说，比找一个美国人合算。所以不要认为人家美国遍地都给你工签。大公司不是傻瓜。

roflya 发表于 2023-7-25 04:49
恭喜拿到offer！我也是几个月前被裁，一直没什么面试。听说微软新的财年了，entry level的机会多吗？请问 ...

tiktok考虑吗？我们在温哥华招人，可以把简历发到我的邮箱：zhanghantao.022@bytedance.com，或者加我微信：19512200390

zht022 发表于 2023-8-17 15:10
tiktok考虑吗？我们在温哥华招人，可以把简历发到我的邮箱：，或者加我微信：19512200390

补充一下，招MLE，社招或者实习，有身份的优先，没有身份的如果优秀，公司可以办签证，但无法100%保证

补充内容 (2023-08-18 12:28 +08:00):

JD:
职位描述
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 At 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.

Responsibilities  
1. 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.


职位要求
1. 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.