Applied Scientist, E‑Commerce Recommendations (Global)

TikTok; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

TikTok is seeking an Applied Scientist to join the Global E-Commerce Alliance Team in San Jose. This role focuses on developing and deploying innovative ML solutions for our recommendation systems in E-Commerce.

You will collaborate with cross-functional teams to design models handling signals from products, creators, and transactions, and scale a large online learning-based recommendation model. We value strong PhD or Master's, Python/C++/Java, and a track record in ML and recommender systems,

Qualifications

• PhD or Master's in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• 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 experience

Recommender systems

Communication skills

Data analysis

Problem solving

Clear articulation to audiences

Education

PhD or Master’s in CS/Statistics/Math

Tools

Python

C++

Java

Job description

TikTok is seeking an Applied Scientist to join the Global E-Commerce Alliance Team in San Jose. This role focuses on developing and deploying innovative ML solutions for our recommendation systems in E-Commerce.

You will collaborate with cross-functional teams to design models handling signals from products, creators, and transactions, and scale a large online learning-based recommendation model. We value strong PhD or Master's, Python/C++/Java, and a track record in ML and recommender systems,