Senior ML Engineer, Recommendation Systems & Ranking

TikTok USDS Joint Venture; San Jose (CA); On-site; USD 187,040 - 359,720; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

10 paid holidays per year

17 days of Paid Personal Time

Job summary

TikTok USDS Joint Venture is seeking applied machine learning engineers in San Jose, California. This role focuses on developing innovative recommendation algorithms and systems that enhance user engagement.

Candidates should have a strong educational background in computer science, experience with deep learning tools like TensorFlow and PyTorch, and solid programming skills in languages such as C++ or Python.

The position offers competitive compensation ranging from $187,040 to $359,720 annually, along with comprehensive benefits.

Qualifications

• Bachelor's degree or higher in Computer Science or related fields.
• Experience in applied machine learning, familiar with algorithms.
• Strong programming and problem-solving ability.

Responsibilities

• Build large-scale recommendation algorithms for TikTok.
• Design predictive models for generating and ranking candidates.
• Analyze and extract information from large data sets.

Skills

Programming

Problem-solving

Applied Machine Learning

Deep Learning Tools

Recommendation Systems

Education

Bachelor's degree in Computer Science

Tools

TensorFlow

PyTorch

C++

Python

Job description

TikTok USDS Joint Venture is seeking applied machine learning engineers in San Jose, California. This role focuses on developing innovative recommendation algorithms and systems that enhance user engagement.

Candidates should have a strong educational background in computer science, experience with deep learning tools like TensorFlow and PyTorch, and solid programming skills in languages such as C++ or Python.

The position offers competitive compensation ranging from $187,040 to $359,720 annually, along with comprehensive benefits.