Software Engineer, AI/Machine Learning, PhD, Early Career, 2027 Start
Atlanta, GA, USA · 1mo ago
Not specified0+ YOE
Quick summary
AI parsed- Experience
- PhD in Computer Science, AI, Machine Learning, or related field; Experience coding in Python, C, C++, Java, JavaScript, or Golang; Experience in Machine Learning or Artificial Intelligence; Preferred: Research experience in ML/AI systems at scale, designing/training complex ML/AI models, building end-to-end AI application stacks, familiarity with CNNs, NLP Transformers, Diffusion/Vision Transformers, Rust, PyTorch, JAX, or TensorFlow
- Salary
- $147,000 - $210,000 USD + 15% bonus target + equity + benefits
Responsibilities
- Collaborate or lead on team projects to carry out design, analysis, and development of advanced ML systems across the stack using research expertise
- Support building end-to-end ML Systems involving full stack work, from low-level hardware acceleration and compiler optimizations to high-level model architecture and production APIs
- Optimize complex system performance by analyzing and fixing performance bottlenecks, memory inefficiencies, and errors in production systems
- Elevate engineering excellence by writing well-tested code, conducting code reviews, and fostering a culture of quality
Benefits
Benefits at Google
Full description
Google's engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at a massive scale. You'll be at the forefront of innovation, developing systems and AI and Machine Learning solutions. As a PhD graduate, your research expertise is invaluable to us. Explore a variety of projects, collaborate with various teams, and contribute to products that are changing the world, across many product areas, including AI & Infrastructure , Cloud , YouTube , Search , Ads and…