Machine Learning Algorithm Developer
6 days ago
TikTok is a leading destination for short-form mobile video, aiming to inspire creativity and bring joy. The U.S. Data Security division was created to provide heightened focus and governance to data protection policies and content assurance protocols, ensuring the safety of U.S. users.
We are seeking a skilled Machine Learning Algorithm Developer to join our team of applied machine learning engineers and data scientists. This role will focus on building large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations. As part of this team, you will work with various data sources, 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. Experience in deep learning tools such as TensorFlow/PYTORCH is also highly desirable.
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.
Benefits and Qualifications
We offer a competitive salary of $160,000 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. To enhance collaboration and cross-functional partnerships, we follow an inclusive approach, celebrating diverse voices and creating an environment that reflects the many communities we reach. We strive to provide reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.
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