Tech Lead Software Engineer - TikTok Monetization GenAI - San Jose
San Jose, California, United States
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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:
- Work closely with infrastructure architects and SREs and to enhance the Generative AI Platform's availability, scalability, and cost-efficiency.
- Engineer robust, high-performance data processing and large language model training/inference pipelines, drive engineering excellence and optimization initiatives to ensure the most effective use of resources, including cost optimization and performance tuning of the ML platform.
- Provide a cutting-edge platform to model researchers and data pipeline engineers, accelerating the development and deployment of innovative ML models.
- Stay abreast of the latest advancements in machine learning infrastructure to implement solutions that enhance platform efficiency and performance.
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:
- Work closely with infrastructure architects and SREs and to enhance the Generative AI Platform's availability, scalability, and cost-efficiency.
- Engineer robust, high-performance data processing and large language model training/inference pipelines, drive engineering excellence and optimization initiatives to ensure the most effective use of resources, including cost optimization and performance tuning of the ML platform.
- Provide a cutting-edge platform to model researchers and data pipeline engineers, accelerating the development and deployment of innovative ML models.
- Stay abreast of the latest advancements in machine learning infrastructure to implement solutions that enhance platform efficiency and performance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Tags: Engineering Generative AI LLMs Machine Learning ML infrastructure ML models Model training Pipelines
Region:
North America
Country:
United States
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