Senior Applied ML Engineer, Graph Neural Network, ML Frontiers — Google Switzerland
- Location
- Zürich
- Contract
- full-time
- Posted
- 4 days ago
Role overview
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Forward Deployed Engineer IV, GenAI, Google Cloud San Francisco, CA, USA; Atlanta, GA, USA; +24 more; +23 more *
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- 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.
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
Main responsibilities
- 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.
Key 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.
Application process
- 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.
Contacts
- Senior Applied ML Engineer, Graph Neural Network, ML Frontiers _share_ _link_ Copy link _email_ Email a friend _corporate\_fare_ Google _place_ Zürich, Switzerland _\_bar\\_chart\__ Mid
- _share_ _link_ Copy link _email_ Email a friend Minimum qualifications:
Company and context
- Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
- We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
- Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Additional details
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Notes and original content
- Send Feedback Sign in _home_ Home _work\_outline_ Jobs _expand\_more_ _noogler\_hat_ Students _expand\_more_ _google_ How we work _expand\_more_ _handyman_ How we hire _expand\_more_ _person\_outline_ Your career _expand\_more_ # job details _arrow\_back_ Back to jobs search
- Jobs search results 3,665 jobs matched *
- Forward Deployed Engineer IV, GenAI, Google Cloud San Francisco, CA, USA;
- Atlanta, GA, USA; +24 more; +23 more *
- Field Sales Representative, Financial Services, Google Cloud Washington D.C., DC, USA;
- Atlanta, GA, USA; +3 more; +2 more *
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