taboola · Taipei, Taiwan
Realize your potential by joining the leading performance-driven advertising company! As a Research Engineer on Brain, a global R&D team in Taboola's Algorithms Craft Center, you'll play a vital role in advancing the deep learning models behind Taboola's recommendations and ads. This role is based in our Taipei office. It is a chance to do research that ships: you'll turn new ideas from deep learning and recommender systems research into working models at Taboola's scale, rethink how they are built, and see your work directly improve a live production system. You'll also help shape the methodology algorithm engineers across the company use to develop and improve models. This role is open at Senior and Staff levels. At Senior level, you own model improvements end to end, from finding the opportunity to seeing the gain in production. At Staff level, you also set technical direction for a problem area, lead architecture changes across models and teams, and help the people around you grow through design reviews and mentoring. Both are individual contributor roles. To thrive in this role, you'll need: Deep expertise in machine learning and deep learning, including designing model architectures for a specific problem domain, not only applying existing ones. Any large-scale domain counts: recommendation, ads, search, NLP, vision, speech. Strong hands-on model development: you design, implement and train deep learning models yourself, in any framework (TensorFlow, PyTorch or others). Proven depth, shown by at least one of: measurable improvements to machine learning models in production; papers at top venues such as KDD, RecSys, WWW, NeurIPS or ICML; top ranks in machine learning competitions such as Kaggle, KDD Cup or RecSys Challenge. Strong engineering skills to build your models end to end, so that what works offline can run in production. MSc or PhD in Computer Science, Mathematics, Statistics, Engineering or a related field, or equivalent research experience and exper…
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