ML Engineer, Commerce Ads Platform

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Job summary

TikTok Inc. is hiring Machine Learning Engineers to build scalable ML systems that improve ads ranking quality and advertisers' ROI. You will collaborate with a global team across product, design and engineering to connect users, advertisers and TikTok through advanced modeling and data-driven decisions.

You will explore new features, experiment with models, and apply DL techniques (CNN/RNN/LSTM) to optimize user value and ad effectiveness across diverse verticals.

Qualifications

• BS/MS degree in Computer Science, Computer Engineering, or related majors.
• Solid programming skills in Go, C/C++, Python; Linux development.
• Strong analytics and knowledge of statistics; ML/DL concepts (CNN/RNN/LSTM).

Responsibilities

• Build highly scalable machine learning systems and state-of-the-art ML models to improve ads ranking quality and advertiser ROI.
• Explore, develop and experiment with new features to improve model accuracy.
• Understand ads platform objectives and leverage modern ML to improve ads relevance and quantity delivered to end-users.
• Collaborate with Product Managers, Designers, and other disciplines to explore next-gen shopping experiences on TikTok.

Skills

Go

C/C++

Python

Linux

Statistics

CNN/RNN/LSTM

TensorFlow/PyTorch/MXNet

Education

BS/MS degree in Computer Science/Computer Engineering or related majors

Tools

TensorFlow

PyTorch

MXNet

Spark

Job description

TikTok Inc. is hiring Machine Learning Engineers to build scalable ML systems that improve ads ranking quality and advertisers' ROI. You will collaborate with a global team across product, design and engineering to connect users, advertisers and TikTok through advanced modeling and data-driven decisions.

You will explore new features, experiment with models, and apply DL techniques (CNN/RNN/LSTM) to optimize user value and ad effectiveness across diverse verticals.