Caffe Engineer Jobs

1 job found

1mo ago

Machine Learning Engineer, Search engine, E-Commerce Alliance

TikTok Seattle, WA

Seattle, WA

1mo ago Closed

$148k - $301k/yr Full time Ai Ml Algorithms Analytics

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

The Machine Learning Engineer will design, build, and optimize large-scale ML systems for TikTok's E-Commerce Alliance, focusing on search and matching to enhance ranking, query analysis, and monetization for merchants and creators.

Summary

Role involves developing and refining large-scale machine learning algorithms to enhance e-commerce search and matching on the platform, optimizing ranking signals, query interpretation, and monetization strategies for merchants and creators.

Responsibilities

Design and deploy scalable ML algorithms to deeply optimize e-commerce search, covering ranking, query analysis, correlation calculations, and key business indicators across sorting scenarios such as relevance, click-through rate, and conversion rate.
Develop ML solutions and strategic approaches through analysis and mining of extensive user queries to empower the merchant side and improve the platform's overall matching capability.
Leverage large-scale data to study creator and merchant behaviors and craft targeted algorithm strategies to empower both groups, enhance monetization efficiency, and drive industry upgrading.
Support rapid growth of TikTok's e-commerce business by serving millions of merchants, exploring efficient business models, delivering an optimal shopping experience, and promoting a healthy ecosystem.

Requirements

Proficiency in at least one programming language (C++, Python, Shell) with solid fundamentals and clean coding practices.
Experience in algorithm development, including application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
Familiarity with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and knowledge of common deep learning algorithms.
Ability to work independently while maintaining strong teamwork and communication skills.
Experience in search engines, recommender systems, or computational advertising is preferred.

Technologies

C++
Python
Shell
Sparse LR
DFFM
Deep&Wide
DSSM
TensorFlow
Caffe
MXNet

Benefits

Medical, dental, and vision insurance from day one
401(k) savings plan with company match
Paid parental leave
Short-term disability
Long-term disability
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at hire with tenure-based accruals

Location

Seattle, WA (onsite)

Employment Type

Regular

Job Code

O2281

Los Angeles County (Unincorporated) Candidate Disclosures

Interacting with internal or external clients and colleagues may occur, including instances of unsupervised contact.
Appropriate handling and management of confidential information, including proprietary and trade secret material, and access to information technology systems.
Exercising sound judgment in relevant professional scenarios.

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