Minimum qualifications :
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.
- Bachelor's degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence or deep learning.
- Experience with Large Language Models, NLP or Generative AI.
Preferred qualifications :
- Master's degree or PhD in Computer Science or related technical field.
- Experience training and improving deep learning models (e.g., multi-task models, sequence modeling, Long Short-Term Memories (LSTMs), Convolutional Neural Networks (CNNs), Attention).
- Experience with transformer models or recommendation systems.
- Experience with the modern ML stack or TPUs.
- Experience with applied ML and infrastructure.
- Excellent publication record in conferences (e.g., NeurIPS, RecSys).
About The Job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
- Conduct applied research to improve the quality and training / serving efficiency of Large Transformer-based User Models.
- Build, improve, and productionize Large Transformer-based User Models.
- Experiment, analyze, and iterate over Large User Models for Google products (e.g., Play, Search) to improve model quality.
- Collaborate with researchers to develop new Machine Learning (ML) architectures, techniques, and metrics.
- Research in recommendation systems and Large Models from other domains (e.g., Language, Vision, Multimodal).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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