USA NLP and Machine Learning Engineer – TikTok e-Commerce Full-time

Description

About TikTok
TikTok is the leading platform for short-form mobile videos, dedicated to inspiring creativity and bringing joy to over 1 billion users worldwide. With offices across the globe, including Singapore, we value humility, intelligence, compassion, and creativity in our team.

Why Join Us?
At TikTok, we embrace curiosity and aim for excellence. We encourage bold ideas and calculated risks, offering limitless opportunities for those ready to make an impact. Join us and help shape the future of online engagement!

About the Team
Our team focuses on developing large-scale product knowledge graphs to enhance the online shopping experience. We’re looking for skilled software engineers with expertise in Natural Language Processing (NLP), Computer Vision (CV), Deep Learning (DL), and Machine Learning (ML).

Responsibilities:

• Develop and optimize algorithms for product matching, price comparison, and other areas to enhance operational efficiency.
• Maintain and improve the robustness and efficiency of algorithm solutions in a live business environment.

Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Applied Mathematics, Data Science, or related fields.
• Minimum of 3 years of experience in one or more of the following areas:
• NLP: Natural language generation, named entity recognition, machine translation, etc.
• CV: Facial recognition, object detection, image classification, etc.
• ML: Transfer learning, recommendation systems, reinforcement learning, etc.
• Experience in the e-commerce or internet industry is preferred.
• Strong coding skills in one of the following languages: Python, Java, C/C++, Spark.
• Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Excellent analytical and problem-solving abilities.

Diversity & Inclusion:
TikTok is committed to creating an inclusive environment where every employee’s skills and unique perspectives are valued. We celebrate diversity and strive to reflect the communities we serve.