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# General Hire) Machine Learning Engineer

- **Company:** Tiktok Inc
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $162,000.0 - $316,800.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, C++ (Programming Language), Data Structures, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Pytorch, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** October 15, 2026
- **Apply:** https://www.themuse.com/jobs/tiktok/general-hire-machine-learning-engineer-tiktok-recommendation

## About the Role

Bachelor degree or above in computer science or a related major, with 2+ years of related work experience., Proficient in C/C++, Python and have a deep understanding of data structure and algorithm design. Practical experience using these languages building production systems.

 - Solid knowledge and practical experience developing and training models with at least one popular deep learning framework (e.g., PyTorch, TensorFlow).
 - Experience in one or more of the following areas: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
 - Good written and verbal communication skills.

## Description

About the Team
Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is a diverse group of world-level researchers and engineers, who develop and support the production recommendation systems that drive product impact. The team is fast-paced, collaborative and impact-driven.

Responsibilities - What You'II Do

 - Develop recommendation systems that improve user experience and platform content ecosystem.
 - Build machine learning systems and pipelines to address critical product challenges.
 - Own a complex part(s) of the system, lead its development, support, and improvements.
 - Collaborate with cross functional teams to design product strategies and build solutions to grow TikTok in the US market.