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Machine Learning Engineer, Recommendations Specialist
1 month ago
We are seeking a highly skilled Machine Learning Engineer to join our team at TikTok. As a key member of our applied machine learning team, you will be responsible for developing and deploying large-scale recommendation algorithms and systems that drive user engagement and satisfaction.
Key Responsibilities:
- Design and develop large-scale recommendation algorithms and systems, including commodity recommendations, live stream recommendations, and short video recommendations.
- Build and analyze user interest models, extracting relevant information from large datasets and designing algorithms to explore users' latent interests efficiently.
- Develop and evaluate predictive models for candidate generation and ranking, including building real-time data pipelines, feature engineering, and model optimization.
- Design and build supporting/debugging tools as needed.
Requirements
- Bachelor's degree or higher in Computer Science or related fields.
- Strong programming and problem-solving ability.
- Experience in applied machine learning, familiar with algorithms such as Collaborative Filtering, Matrix Factorization, and Deep Neural Networks.
- Experience with Deep Learning Tools such as TensorFlow or PyTorch.
- Experience with at least one programming language like C++ or Python.
Preferred Qualifications
- Experience in recommendation systems, online advertising, information retrieval, natural language processing, or related fields.
- Publications at top conferences or experience in data mining/machine learning competitions.
About TikTok
TikTok is a leading destination for short-form mobile video, inspiring creativity and bringing joy to millions of users. Our mission is to create an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We are passionate about celebrating our diverse voices and creating an environment that reflects the many communities we reach.
Why Join Us
At TikTok, we believe in the power of creativity and innovation. We are 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 https://shorturl.at/ktJP6
