Machine Learning Engineer - Machine Learning Infrastructure
San Jose, California
Employer: TikTok
Industry: R&D
Salary: Competitive
Job type: Full-Time
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.
Responsibilities:
- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
- Responsible for improving use-ability and flexibility of the machine learning infrastructure.
- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
- Responsible for designing and developing key components of ML infrastructure and mentoring interns.
Qualifications
Minimum Qualifications
- Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
- Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
- Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems.
- Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic.
Preferred Qualifications
- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
- Experience in using/designing open-source machine learning lifecycle management systems: TFX
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodation@tiktok.com
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission.
Responsibilities:
- Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models.
- Responsible for improving use-ability and flexibility of the machine learning infrastructure.
- Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems.
- Responsible for designing and developing key components of ML infrastructure and mentoring interns.
Qualifications
Minimum Qualifications
- Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills.
- Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development.
- Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems.
- Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic.
Preferred Qualifications
- Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
- Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems.
- Experience in using/designing open-source machine learning lifecycle management systems: TFX
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at dataecommerce.accommodation@tiktok.com
Created: 2024-06-30
Reference: A211063
Country: United States
State: California
City: San Jose
ZIP: 95118
Similar jobs:
-
Tech Lead Machine Learning Engineer - Applied AIGC, TikTok Monetization GenAI
TikTok in San Jose, California -
Tech Lead, Machine Learning Engineer-TikTok Multimedia, Data Platform
TikTok in San Jose, California -
Machine Learning Engineer Graduate (E-commerce Governance Algorithms) - 2025 Start (Phd)
TikTok in San Jose, California -
Software Engineering Manager, Machine Learning
Meta in Sunnyvale, California -
Senior Machine Learning Engineer, TikTok Core Feed Recommendation - User Growth
TikTok in San Jose, California -
Staff Software Engineer, Machine Learning, Google Pixel Watch
Google in Mountain View, California -
Compiler Engineer II - Machine Learning, Annapurna Labs
Amazon in Cupertino, California💸 $129300 per year -
AIML - Software Engineer, Machine Learning Platform and Technologies
Apple in Cupertino, California -
Senior Machine Learning Engineer - Search Recommendation, E-commerce
TikTok in San Jose, California -
Senior Machine Learning Engineer - USDS (Multiple Positions)
TikTok in Mountain View, California -
Software Engineer III, Machine Learning, Google Assistant
Google in Mountain View, California -
Tech Lead Machine Learning Engineer, Feed Quality
TikTok in San Jose, California -
Senior Deep Learning (AI) Engineer (Unable to consider OPT/CPT )
VW Credit, Inc. in Belmont, California -
AIML - Machine Learning Engineer/Scientist, Siri and Information Intelligence
Apple in Cupertino, California -
AIML - Senior Software Engineer, Privacy - Machine Learning Platform and Technology
Apple in Santa Clara Valley (Cupertino), California -
Machine Learning Engineer Graduate (E-commerce Intelligent Customer Service) - 2024 Start (MS/Phd)
TikTok in San Jose, California -
Software Engineer III, Machine Learning, Core
Google in Sunnyvale, California -
Software Engineer (Machine Learning)
Meta in Menlo Park, California -
Senior Machine Learning Engineer, TikTok Branding Ads
TikTok in Los Angeles, California -
Senior Software Engineer, Machine Learning, Labs
Google in Mountain View, California