Applied Scientist, E-Commerce Recommendations Alliance

TikTok; San Jose (CA); On-site; USD 190,000 - 317,000; Full time

Job summary

TikTok is seeking an Applied Scientist to join our Global E-Commerce Alliance Team. The role centers on building and deploying innovative machine learning solutions for our recommendation systems in the E-Commerce business.

You will work with cross-functional teams to influence critical decisions and drive business impact. You will apply ML, NLP, and CV techniques to real-world signals from products, creators, merchants, and transactions; design end-to-end models; run experiments; and stay ahead

Qualifications

• PhD or Master's in CS, statistics, mathematics, or related quantitative field.
• Solid experience in machine learning, deep learning, data mining, or artificial intelligence.
• Proficient in programming languages such as Python, C++, Java, or similar.
• Deep understanding of recommendation algorithms and personalization systems.
• Excellent problem-solving and analytical skills.
• Strong ability to communicate complex ideas effectively to both technical and non-technical audiences.

Responsibilities

• Collaborate with cross-functional teams to design, develop, and deploy sophisticated machine learning algorithms to enhance the performance of our recommendation systems.
• Utilize the ML, NLP, and CV techniques to deal with real-world signals generated from products, creators, merchants, e-commerce transactions, and so on.
• Design and deploy the large recommendation model, in the online learning manner, to serve billions of queries and products.
• Formulate end-to-end machine learning models for recommendation systems, ensuring their efficient and effective operation.
• Analyze extensive, complex datasets to extract meaningful insights, identify opportunities for improvement, and facilitate data-driven decision-making.
• Design and execute experiments, testing and iterating on machine learning models to optimize recommendation functions and boost user satisfaction.
• Stay abreast of the latest advances in machine learning and recommendation systems, integrating this knowledge into your work.
• Clearly communicate complex technical concepts, methodologies, and results to a diverse audience, influencing decisions based on your findings.
• Adhere to stringent data governance and privacy protocols, ensuring all user data is handled responsibly and ethically.

Skills

ML & DL expertise

Python, C++, Java

Recommendation algorithms

Problem-solving

Analytical thinking

Technical communication

Education

PhD or Master’s in CS, Statistics, Mathematics, or related quantitative field

Job description

TikTok is seeking an Applied Scientist to join our Global E-Commerce Alliance Team. The role centers on building and deploying innovative machine learning solutions for our recommendation systems in the E-Commerce business.

You will work with cross-functional teams to influence critical decisions and drive business impact. You will apply ML, NLP, and CV techniques to real-world signals from products, creators, merchants, and transactions; design end-to-end models; run experiments; and stay ahead