See all roles

Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Recommendation) - 2026 Start (PhD) @ TikTok

Work from home Full-time role Hiring

Team Introduction E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities - 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. - Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. - Design and build supporting/debugging… Apply To This Job

You might like

Engineer Graduate, AI Safety - San Jose, TikTok - 2026 Start (BS/ MS) @ TikTok

Work from home Full-time role

Software Engineer Intern (Trust and Safety - Algorithm Engineering) - 2026 Summer (BS/MS) @ TikTok

Work from home Full-time role

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Summer (BS/MS) @ TikTok

Work from home Full-time role

Frontend Engineer III – Data Connectors Group, NG-SIEM

Work from home Full-time role

Sr. Engineer – Frontend

Work from home Full-time role

Director, Clinical Pharmacology & Pharmacometrics

Work from home Full-time role

Merchandise / Supply Chain planner

Work from home Full-time role

Commercial Account Manager

Work from home Full-time role

Green Roof Installation Site Supervisor

Work from home Full-time role

Medical Science Liaison – Cardiometabolic

Work from home Full-time role

Experienced Full Stack Data Entry Clerk - Remote Work from Home Opportunity with Aetna at $25-$35/Hour

Work from home Full-time role

Senior Ruby/Rails Back-End Developer

Work from home Full-time role

Manager of School Partnerships, Literacy/ELA

Work from home Full-time role

Technical Training Lead

Work from home Full-time role

Remote Customer Service Agent – Healthcare Benefits & Medication Support – Starting at $17/hr – Full‑Time Position with arenaflex

Work from home Full-time role

Product Analyst (Hybrid)

Work from home Full-time role

Wellness Consultant - Remote Opportunity with Flexible Hours

Work from home Full-time role

Senior Stock Administrator

Work from home Full-time role

Experienced Medical Specialist/Data Entry Specialist – Medical Information Services (10AM-7PM EST)

Work from home Full-time role

Job Title: Remote Customer Service Expert – Work from Home Opportunity at arenaflex

Work from home Full-time role