Machine Learning Engineer Graduate (Data-eCommerce) - 2024 Start (PhD)

$145,000 - $355,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

As a Machine Learning Engineer Graduate at TikTok, you will be part of a dynamic team focused on enhancing the e-commerce experience through advanced machine learning techniques. TikTok is a leading platform for short-form mobile video, and our mission is to inspire creativity and bring joy to users worldwide. The e-commerce sector is rapidly growing, and we are dedicated to connecting customers with quality sellers and products through innovative solutions such as live-streaming and personalized recommendations. You will work within various teams, including E-commerce Recommendation and Marketing, Alliance, Search, and Search Growth, each contributing to the overall goal of providing an exceptional shopping experience. Your role will involve designing and building large-scale machine learning algorithms that optimize e-commerce search engines, focusing on query analysis, retrieval, ranking, and correlation calculations. You will also analyze user queries to empower merchants and enhance the platform's matching capabilities. This position offers unparalleled opportunities for recent graduates to kickstart their careers, pursue bold ideas, and explore limitless growth opportunities. Successful candidates will be expected to commit to one of several start dates in 2024, and applications will be reviewed on a rolling basis. We encourage early applications and welcome candidates who are passionate about machine learning and e-commerce.

Responsibilities

• Design and build large-scale machine learning algorithms to optimize e-commerce search engines.
• Conduct query analysis, retrieval, ranking, and correlation calculations to improve business indicators.
• Build machine learning solutions and strategies by analyzing user queries to enhance merchant capabilities.
• Support the rapid development of TikTok's e-commerce business, serving millions of buyers and sellers.
• Explore efficient business models to provide the best shopping experience for users.

Requirements

• PhD Degree in computer science or relevant areas.
• Solid foundation in data structure and algorithm design, proficient in programming languages such as Python, Java, C++, or R.
• Familiarity with common machine/deep learning algorithms, including classification, regression, and clustering methods.
• Experience with at least one framework of TensorFlow, PyTorch, or MXNet, including training and deployment details.
• Knowledge of big data frameworks, with preference for experience in MR or Spark.
• Passion for designing machine learning algorithms for search engines and recommendation systems.

Nice-to-haves

• Experience in recommendation systems, online advertising, ranking, search, or information retrieval.
• Publications in conferences such as KDD, NeurIPS, WWW, SIGIR, or experience in data mining competitions like Kaggle.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents.
• Health Savings Account (HSA) with company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans.
• Flexible Spending Account (FSA) options for healthcare and dependent care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO).
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.