ML Engineer: Ads Traffic & Personalization Strategy

TikTok; San Jose (CA); On-site; USD 136,800 - 259,200; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Life insurance

Wellbeing benefits

Job summary

A leading social media platform is seeking innovative Machine Learning Engineers to optimize their advertising technologies in San Jose, California. The role involves developing state-of-the-art advertisements through model optimization, enhancing ad relevance, and improving customer experience. Candidates should have a strong programming background in C/C++ and Python along with a degree in Computer Science. This position offers a competitive salary range of $136,800 - $259,200 annually along with comprehensive benefits.

Qualifications

• Solid programming skills in C/C++ and Python.
• Good theoretical grounding in deep learning concepts.
• Experience with machine learning frameworks.

Responsibilities

• Optimize advertising models using advanced technologies.
• Develop context models to improve ads delivery.
• Establish a framework for multiple teams to iterate models.

Skills

C/C++

Python

Deep Learning

Statistics

Collaboration

Education

BS/MS degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

A leading social media platform is seeking innovative Machine Learning Engineers to optimize their advertising technologies in San Jose, California. The role involves developing state-of-the-art advertisements through model optimization, enhancing ad relevance, and improving customer experience. Candidates should have a strong programming background in C/C++ and Python along with a degree in Computer Science. This position offers a competitive salary range of $136,800 - $259,200 annually along with comprehensive benefits.