Senior Applied ML Engineer, Graph Neural Network, ML Frontiers

Job description

Minimum qualifications: Bachelor's degree or equivalent practical experience. - 5 years of experience with software development in one or more programming languages. - 2 years of experience with C++ and Python. - Experience with machine learning (ML)/AI in a software development environment. Preferred qualifications: - 5 years of experience with data structures and algorithms. - 2 years of experience with applied machine learning/machine learning research. - Experience with one or more neural network frameworks: PyTorch, TensorFlow or Jax. - Experience with decision trees. About the job: Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models. Google Cloud accelerates every organization’s ability to digitally transform its bu...