Senior Machine Learning Engineer, Global E-Commerce – Recommendation (Multiple Positions)

• Design, develop, and optimize the advanced recommendation systems that power the global e-commerce ecosystem.
• Balance user experience, ecosystem health, and business objectives through algorithmic solutions to build a healthy, sustainable e-commerce content ecosystem.
• Formulate real-world user data modeling in statistical learning problems.
• Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.
• Research and design ML models to optimize systems, features, algorithms, and product strategies.
• Collaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint.
• Mentor junior Machine Learning Engineers and interns.
• Of the required experience, must have 2 years of experience in each of the following:
• Coding using Python or C++;
• Optimizing, training, and deploying machine learning and deep learning models using PyTorch or TensorFlow;
• Developing code and identifying issues in Linux environment;
• Developing data-driven prediction models using classic statistical methods, machine learning, and neural network/deep learning; and
• Utilizing Big data framework Spark, Hadoop, or Flink.
• Travel Requirement: International travel required up to 25%.
• Type: Full time, 40 hours/week
• Location: Bellevue, WA
• To Apply, click the apply button below. Contact lpresumes@tiktok.com if you have difficulty submitting resume through the website.

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