Senior ML Systems Engineer
2 days ago
We are seeking a highly skilled Machine Learning Engineer - Machine Learning Infrastructure to join our team in the United States. As a critical member of our global organization, you will play a key role in designing and implementing a next-generation AI infrastructure and recommendation platform for ads ranking, search ranking, and live & ecom ranking. The ideal candidate will have a strong background in machine learning system development, experience working with large-scale distributed systems, and excellent communication skills.
Company Overview
TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. We value diversity and inclusion, and our company culture is built on collaboration, innovation, and mutual respect. In this role, you will have the opportunity to work with talented individuals from around the world, leveraging your expertise to drive business results and make a meaningful impact.
Key Responsibilities
- Design and implement a global-scale machine learning system for feeds, ads, and search ranking models.
- Develop and maintain high-quality software components using a range of technologies, including Go, Python, and Linux.
- Collaborate with cross-functional teams to identify and prioritize project requirements, develop technical solutions, and deliver high-quality results.
Qualifications
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role.
- At least 5 years of experience in machine learning system development, with a strong focus on scalability, reliability, and performance.
- Proven expertise in design patterns, architecture, and implementation of large-scale distributed systems.
Salary Range
$150,000 - $200,000 per year, depending on qualifications and experience.
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