Apply on Employer Site

ByteDance · 6 hours ago

Machine Learning Graduate (eCommerce Recommendation) - 2026 Start (BS/MS)

San Jose, CA

Full-time

Onsite

New Grad

$119K/yr - $187K/yr

0+ years exp

ByteDance is a rapidly growing tech company known for its innovative products like TikTok. They are seeking graduates to join their E-commerce Recommendation Team to enhance the shopping experience through advanced machine learning algorithms.

ContentData MiningFoundational AIInternetSocial Media

Comp. & Benefits

No H1B

Responsibilities

Work in a team to conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms

Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok

Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently

Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety

Qualification

Machine LearningRecommendation SystemsDeep Learning FrameworksNatural Language ProcessingComputer VisionLarge-scale Data MiningProblem Solving

Required

Bachelor's degree or above (or expected by 2026) in Computer Science, related technical field or equivalent industrial research experience with 0-1 year of work experience

Familiar with at least one of the mainstream deep learning frameworks, such as TensorFlow or PyTorch

Passionate about solving complex and challenging problems

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Experience in one of the following fields: recommendation systems, online advertising, information retrieval, natural language processing, computer vision, machine learning, large-scale data mining, or related fields preferred