TikTok
Machine Learning Engineer-TikTok Multimedia Arch-Data and Algorithm
TikTok, San Jose, California, United States, 95199
Responsibilities
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.
About the TeamThe Multimedia arch team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions, including client, shooting, uploading, video playback, video delivery and player, etc.
Responsibilities:Apply the state of art machine learning and deep learning technologies to analyze the APP experience of TikTok Users and develop algorithms to provide the best experiences for users.Work with large datasets, understand user preferences, identify video characteristics, and incorporate feedback loops to continuously improve the user experience.Collaborate with cross-functional teams to deploy algorithm models in the product pipelines.Design experiments and A/B tests to evaluate the effectiveness of your algorithms, including metric design, data analysis, and decision-making for algorithm improvement.
Qualifications2+ years of industry experience with a solid theoretical foundation in machine learning.A master's or PhD degree in computer science, data science, or a related field.Familiar with common learning-based algorithms, such as classification, clustering, DNN, embedding, multi-task learning, and reinforcement learning.Proficient in at least one programming language, such as Python and C++.Proficient in using any of the following open-source tools: TensorFlow, PyTorch, Scikit-Learn, Keras, Apache Spark, and Caffe.Have a passion for learning and an eagerness to experiment with new techniques and good communication and a cooperative spirit.
Job Information:The base salary range for this position in the selected city is $145000 - $250000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
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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.
About the TeamThe Multimedia arch team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions, including client, shooting, uploading, video playback, video delivery and player, etc.
Responsibilities:Apply the state of art machine learning and deep learning technologies to analyze the APP experience of TikTok Users and develop algorithms to provide the best experiences for users.Work with large datasets, understand user preferences, identify video characteristics, and incorporate feedback loops to continuously improve the user experience.Collaborate with cross-functional teams to deploy algorithm models in the product pipelines.Design experiments and A/B tests to evaluate the effectiveness of your algorithms, including metric design, data analysis, and decision-making for algorithm improvement.
Qualifications2+ years of industry experience with a solid theoretical foundation in machine learning.A master's or PhD degree in computer science, data science, or a related field.Familiar with common learning-based algorithms, such as classification, clustering, DNN, embedding, multi-task learning, and reinforcement learning.Proficient in at least one programming language, such as Python and C++.Proficient in using any of the following open-source tools: TensorFlow, PyTorch, Scikit-Learn, Keras, Apache Spark, and Caffe.Have a passion for learning and an eagerness to experiment with new techniques and good communication and a cooperative spirit.
Job Information:The base salary range for this position in the selected city is $145000 - $250000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life.
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