Deep Learning Expert for E-commerce

3 days ago


Mountain View, California, United States Tik Tok Full time
About the Opportunity
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We aim to inspire creativity and bring joy, connecting people from across the globe through our platform. As a leader in the field of artificial intelligence, we are always looking for talented individuals to join our team of applied machine learning engineers and data scientists.

We are seeking a skilled Deep Learning Expert for E-commerce to contribute to the development of large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations. You will work closely with various teams to deliver impactful solutions that improve user engagement and satisfaction, leveraging your expertise in deep learning tools such as TensorFlow/PYTORCH. As part of this team, you will collaborate with data scientists to analyze and extract relevant information from large amounts of data, design innovative algorithms, and develop business-impacting solutions that improve user engagement and satisfaction.

The ideal candidate should have experience in applied machine learning, familiarity with algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep, and proficiency in programming languages like C++/Python or equivalent. This role requires strong problem-solving skills, the ability to work in a fast-paced environment, and excellent collaboration and communication skills. We value innovation, courage, and a growth mindset in our team members, who must be passionate about applying large-scale machine learning to solve real-world problems.

Requirements and Salary
We offer a competitive salary of $170,000 per year, based on location and experience. Our organization follows a hybrid work schedule requiring employees to work in the office 3 days a week. We regularly review our hybrid work model, and specific requirements may change at any time. Key qualifications include a Bachelor's degree or higher in Computer Science or related fields, experience in applied machine learning, deep learning tools, and programming languages. Preferred qualifications include experience in recommendation systems, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields, and publications at top conferences/journals or experience in data mining/machine learning competitions.

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