Software Engineer, PhD, Early Career, AI/Machine Learning, 2026 Start
Kirkland, WA
Full-time
Onsite
$147K/yr - $211K/yr
Entry Level
Google is one of the world’s leading producers and consumers of ML and AI technology, and they are seeking a Software Engineer with a PhD degree. The role involves collaborating on advanced ML systems and transforming research expertise into robust, scalable products.
Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using your research expertise
Support building end-to-end ML Systems that involves working across the full stack, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs, transforming your research expertise into robust, scalable products
Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems to meet stringent customer goals
Elevate engineering excellence by writing well-tested code, conducting code reviews and fostering a culture of quality by advocating best engineering practices
Qualification
Required
PhD degree in Computer Science, ML/AI, or a related field, or equivalent practical experience
Experience coding in one of the following programming languages including but not limited to: Python, C, C++, Java, JavaScript or Golang
Experience in Machine Learning or Artificial Intelligence
Preferred
Research experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment
Experience in designing, training, or refining complex ML/AI models
Experience in deep learning frameworks like TensorFlow/Jax/Pytorch
Experience in building a stack for an AI-powered application, including data ingestion and processing pipelines, building APIs, and connecting the model to a user-facing interface
Familiarity with model architectures (CNNs, NLP Transformers, Diffusion/Vision Transformers)
