Software Engineer
Netflix - 1d ago
Senior Software Engineer
Reddit - 4d ago
Senior Applied ML Engineer, Graph Neural Network, ML Frontiers
Requirements
- 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.
Nice to haves
- 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.
What You'll Be Doing
- Develop feature development (design, coding, doc writing, and maintenance), research exploration (reading papers, benchmarking, and possibly going/submitting to ML conferences), collaborate with clients (from small consultation to large engagements) and partners (e.g., Google Research).
- Implement a distributed graph sampling algorithm (without Flume), benchmark a newly published graph convolution layer in JAX, or develop an interactive Colab component to analyze a trained model.
- Participate in brainstorming and help define future applied research, engineering, and product roadmap priorities.
- Focus on Graph Neural Networks within Graph Flow, collaborate with the remainder of the ML Frontiers teamwhile working on LLM agents and decision forests.
Perks and Benefits
- Google Cloud’s mission to make businesses successful through AI.
- Opportunity to bridge the gap between pioneering models and a massive product vehicle reaching billions.
- Talent density and AI-powered tools for rapid development.
- Culture of empowerment and a bias to action.
AI Summary ✨
Zurich, Switzerland
Gcp
Nodejs
Python
machinelearning
Why we track Google
Google has one of the largest EU engineering presences of any US company. Zurich, London, Munich, and Dublin all run core product work—Search, Maps, YouTube, Cloud. The Zurich office alone is one of their biggest globally. If you want FAANG-level work in Europe, this is one of the best options.
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