eCommerce Engineer Jobs

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1mo ago

Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM/Agent)-E-Commerce Government

TikTok Seattle, WA

Seattle, WA

1mo ago Closed

$202k - $368k/yr Full time Senior Artificial Intelligence Computer Vision

This position is no longer accepting applications (closed Jul 5, 2026).

Job Description

Responsibilities

Identify and refine algorithms to spot risk, violations, and low-quality signals in e-commerce contexts such as product catalogs, shopping-cart short videos, and product-focused live streams.
Develop methods to uncover fraudulent behavior and flag risky merchants and creators.
Optimize algorithms for large-scale brand libraries, product content, and deduplication/clustering tasks.
Lead data construction, instruction fine-tuning, chain-of-thought approaches, alignment, and related work for large models in the e-commerce domain to maximize impact.
Explore reinforcement learning and operations research techniques for intelligent dispatching and audit scheduling to improve audit quality and efficiency.
Research and build multi-agent tools, models, engines, and platforms to enhance automatic planning, generalized decision-making, and multimodal interaction in e-commerce scenarios; deliver agent-based solutions and feed real-world insights back into model iterations.
Improve performance and stability of agent systems, including resource utilization, environment interaction latency, and cost efficiency; define platform roadmaps and establish a reliable agent infrastructure.
Optimize foundational algorithms across NLP, vision, multimodal, search, graph, LLM, and agent domains to support governance initiatives and apply cutting-edge tech to e-commerce use cases.
Streamline computer vision model optimization for e-commerce, covering fine-grained product image classification, object recognition, logo/brand recognition, and related feature extraction.
Advance video classification and multimodal content understanding for e-commerce short videos and live streams to enhance the shopping experience.
Enhance risk identification models for textual content in product copy, images, and voice descriptions within e-commerce contexts.
Improve risk mining algorithms for comments, reports, and public opinion content about products, short videos, and live broadcasts to bolster governance effects.
Research large-scale multimodal algorithms (vision, speech, language) and implement them in e-commerce scenarios.
Extract data from live broadcasts, products, merchants, and creators; model large-scale networks to support content understanding, multimodal representation, and community mining for problem solving.
Contribute to building a large-scale graph storage and graph learning platform enabling billions of nodes and edges for business use cases.

Requirements

Bachelor’s degree or higher in computer science or a related field.
Solid coding skills in a Linux environment, with proficiency in Python, Go, or C++.
Strong foundation in data structures and algorithms, solid ML/DL theory, and substantial practical experience.
Familiarity with 1–2 areas among NLP, computer vision, multimodal, graph algorithms, search, text/data mining, and LLM.
Excellent analytical and problem-solving abilities, with good teamwork and communication skills.
Experience in platform governance, audit, risk control, content security, or overseas internet/e-commerce operations is preferred.

Technologies

Python
Go
C++
Linux

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time

About the Team

Addressing risk and violation issues across e-commerce scenarios.
Building a secure e-commerce ecosystem and enhancing platform service capabilities.

For Los Angeles County (Unincorporated) Candidates

Interacting with internal and external clients or colleagues, with occasional unsupervised contact.
Managing confidential information and access to information technology systems with appropriate discretion.
Applying sound judgment in mission-critical situations.

TikTok Accommodation

Accommodation request details

Job Information

Base salary range in Seattle: USD 202,160 - 368,220 annually.
Compensation may vary outside this range based on qualifications, skills, experience, and location.
Benefits may vary by employment type and country of work location.
Day-one benefits include medical, dental, and vision insurance; 401(k) with company match; paid parental leave; disability coverage; life insurance; wellbeing benefits, among others.
Additional time off includes 10 holidays, 10 sick days, and 17 paid personal days per year, prorated at hire with tenure-based accruals.
The company reserves the right to modify or change benefits programs at any time, with or without notice.

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