Job Information
BYTEDANCE INC. Machine Learning Engineer (Multiple Positions) in Bellevue, Washington
Responsibilities
- Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines.
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``` - Build machine learning solutions and algorithm strategies by the analysis and mining of many user queries to empower the merchant side and improve the overall matching ability of the platform.
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``` - Use the large scale of data to deeply analyze the behavior of creators and merchants.
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``` - Build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading.
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``` - Support the rapid development of e-commerce business and explore more efficient business models.
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``` - Guide interns and recent graduates and provide sharing or training to other engineers in the team.
Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Mathematics, Statistics, Physics, or a related STEM field, and 1 year of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Mathematics, Statistics, Physics, or a related STEM field, and 3 years of post bachelor's, progressive related work experience.
Of the required experience, must have 1 year of experience in each of the following:
- Coding using Python or C++;
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``` - Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
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``` - Developing and deploying large-scale machine learning systems; and
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``` - Conducting A/B testing to evaluate model performance, optimizing models based on analytical results, and deploying enhanced models to production environments.
Type
: Full time, 40 hours/week
Location
: Bellevue, WA
Salary Range:
$137750 -$237500
per year
To apply, and for information on benefits offered, visit:
https://jobs.bytedance.com/en/
and type Job ID
A123298
in search bar. Contact lpresumes@bytedance.com if you have difficulty applying through our website.