Found.dev
Role Highlights
Languages used
C++
Python
Key skills
AI
Deep Learning
NLP
Reinforcement Learning
Information Retrieval
Machine Learning
Recommender Systems
Computer Science
Distributed Systems
Software Design
Data Processing
System Design
Full Stack
Generative AI
Architecture
Testing
PhD
Optimization
Search
Storage
Security
UI
Infrastructure
Tools, Libraries and Frameworks
Mountain View
JAX
PyTorch
Tensorflow
AD
ADS
Description
The role involves building systems to compose, personalize, and optimize ad creatives at scale. Engineers will develop machine learning models from concept to production, including deep learning and reinforcement learning techniques. The work requires building and integrating scalable pipelines to support creative optimization. Additionally, the position involves analyzing performance metrics to derive insights and implementing algorithmic improvements for creative selection. The role focuses on powering the next generation of ad creative experiences for YouTube users.
Required Qualifications and Skills
Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least two years of experience in software development and one year of experience in software design, architecture, testing, and launching features. Proficiency in English is required for all roles. Additional technical expertise in machine learning and advanced degrees are considered preferred qualifications.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Description
At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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