Software Engineer, Large User Models, Core Machine Learning

$136,000 - $200,000/Yr

Google - Mountain View, CA

Full-time - Entry Level

Mountain View, CA

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About the position

Google Cloud's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. This role focuses on applied research and development of machine learning models, particularly Large Transformer-based User Models, to enhance product innovations and improve user experiences across Google products.

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).

Requirements

• 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.

Nice-to-haves

• 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).

Benefits

• Competitive salary range of $136,000-$200,000 + bonus + equity + benefits.
• Opportunities for professional development and career growth.
• Access to cutting-edge technology and tools.