Software Engineer - AIGC Infrastructure, TikTok Monetization GenAI
San Jose, California, United States
We are Generative AI team under Monetization Technology. Our team focuses on developing cutting-edge Generative AI techs across all modalities, including text, image, videos, landing pages, etc., and creates industry-leading technical solutions to improve creative efficiency for advertisers, agencies and creators. We are committed to automated creative workflows by leveraging Generative AI technologies, to increase overall revenue for advertisers, agencies and creators.
We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
Responsibilities:
- Design and deploy state-of-the-art big data pipeline processing techniques (Text, Image, Video, etc.) for empowering the foundation model training, fine-tune and RLHF.
- Improve engineering productivity by empowering ML engineers with excellent tooling and systems.
- Implement the best practices for ensuring building observable and scalable systems.
- Collaborate with ML engineers to build enterprise-level platforms with cutting-edge models.
- Collaborate with open-source communities or academia to advance AI development.
We aim to drive and lead the generative AI in the ads tech and creative industry, powering products and driving values for our clients, creators, and the whole ecosystem. We are looking for infrastructure engineers who are excited to grow their business understanding, build highly scalable and reliable software/infrastructure, partner across functions with global teams, and make big impacts. If you are someone who welcomes challenges, we are eager to have you on the team!
Responsibilities:
- Design and deploy state-of-the-art big data pipeline processing techniques (Text, Image, Video, etc.) for empowering the foundation model training, fine-tune and RLHF.
- Improve engineering productivity by empowering ML engineers with excellent tooling and systems.
- Implement the best practices for ensuring building observable and scalable systems.
- Collaborate with ML engineers to build enterprise-level platforms with cutting-edge models.
- Collaborate with open-source communities or academia to advance AI development.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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1
Categories:
Deep Learning Jobs
Engineering Jobs
Generative AI Jobs
Tags: Big Data Engineering Generative AI Machine Learning Model training Open Source RLHF
Region:
North America
Country:
United States
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