Caffe Data Jobs

1 job found

1mo ago

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).

Machine Learning Engineer focused on building and optimizing e-commerce search and matching systems for TikTok's E-Commerce Alliance.

Architect and deploy large-scale ML models to optimize e-commerce search performance, covering ranking, query analysis, and sorting signals, with metrics such as relevance, click-through rate, conversion rate, and other business indicators driving outcomes.
Develop ML solutions and algorithm strategies by mining extensive user query data to strengthen merchant-side capabilities and enhance overall platform matching.
Leverage vast data to analyze creator and merchant behavior, crafting targeted algorithmic approaches that empower creators and merchants, boost monetization efficiency, and support industrial upgrading.
Support rapid growth of TikTok's e-commerce business by serving millions of merchants, exploring more efficient business models, delivering the best possible shopping experience, and fostering a healthy ecosystem.

Proficient in at least one programming language (C++, Python, Shell) with solid fundamentals and clean coding style.
Experience in algorithm development, including applying and optimizing Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data.
Familiar with at least one mainstream deep learning framework (TensorFlow, Caffe, MXNet) and commonly used deep learning algorithms.
Ability to solve problems independently while maintaining strong teamwork and communication skills.
Experience in search engines, recommendation systems, or computational advertising-related fields is preferred.

Medical, dental, and vision insurance (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 upon hire with increasing accruals by tenure)

Seattle

Regular

O2281

Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
Exercising sound judgment.

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