Machine Learning Engineer
2 weeks ago
TikTok is the leading platform for short-form mobile videos aiming to inspire creativity and joy. They have global presences in key cities such as Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.
Why Team Up with Us?
Creating is at the heart of TikTok. The platform is designed to nurture imaginations, which also holds true for the dedicated teams behind TikTok's success. Our shared mission is to ignite creativity and spread happiness every day. Challenges aren't roadblocks but stepping stones for learning, innovating, and growing together. We never settle for the status quo; we always embrace courage. At TikTok, collaboration breeds growth. That's how we make a difference for ourselves, the company, and the communities we engage with. Come and join us
About the Team
The AML team is focused on advancing machine learning algorithms and platforms for recommendation systems, ads ranking, and search ranking. They drive significant impact for the core business while promoting innovation. A Software Engineer - Machine Learning Infrastructure is sought to bolster and propel this mission.
Key Responsibilities
- Design and implement a global-scale machine learning system for feeds, ads, and search ranking models.
- Enhance the usability and flexibility of the machine learning infrastructure.
- Improve the workflow of model training, serving, data pipelines, and resource management for multi-tenancy machine learning systems.
- Develop essential components of ML infrastructure and provide guidance to interns.
- Contribute to the production of scalable and optimized AI/machine learning models.
- Focus on crafting algorithms for handling large volumes of real-time, unstructured data to deploy AI/ML solutions.
- Conduct experiments to evaluate the deployed models' performance and troubleshoot any arising issues.
- Collaborate within a team setting, leveraging expertise in statistics, scripting, and required programming languages.
- Utilize relevant software platforms for model deployment.
Qualifications
- Bachelor's degree or higher in Computer Science or related fields from established institutions.
- Proficiency in C/C++/Python with robust programming skills.
- Familiarity with deep learning frameworks such as TensorFlow/Pytorch.
- Experience in developing and deploying large-scale systems.
- Capable of independent work, completing projects thoroughly and promptly.
- Excellent communication and teamwork skills for conveying technical concepts effectively.
- Background in enhancing core machine learning infrastructure.
- Over 3 years of industry experience with a strong foundation in machine learning theory.
Preferred Qualifications
- Engagement with open-source machine learning frameworks like TensorFlow/PyTorch.
- Background in big data frameworks such as Spark/Hadoop/Flink, including resource management and task scheduling in large distributed systems.
- Deep understanding of areas like Hardware-Software Co-Design, High-Performance Computing, ML Hardware Acceleration (e.g., GPU/TPU/RDMA), or ML for Systems.
TikTok is dedicated to fostering an inclusive workplace valuing employees for their skills, experiences, and diverse perspectives. Just as our platform connects global communities, our workplace reflects this diversity. Our mission at TikTok is to spark creativity and joy. To achieve this, we celebrate our diverse voices, striving to create an environment mirroring the many communities we serve. We are deeply committed to this and hope you share our passion.
Tell Employers About Your Skills- Mentoring
- Machine Learning
- Big Data
- Hardware
- Ability to Work Independently
- Pipelines
- Scripting
- PyTorch
- Distributed Systems
- High-Performance Computing
- AML
- Statistics
- Data Science
- Resource Management
- Teamwork Skills
- Scheduling
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