Senior Applied ML Ingegnere, Graph Neural Network, ML Frontiers — Google Switzerland

NuovoCHF 101'500 - 154'000

Google Switzerland · Zürich (ZH)

Categoria: Ingegneria Contratto: full-time Salario: CHF 101'500 - 154'000

SalarioCHF 101'500 - 154'000

Google Zürich, Switzerland Minimum qualifications

Bachelor's degree or equivalent practical experience.

5 years of experience with software development in one or more programming languages.

Google Zürich, Switzerland Minimum qualifications:
Bachelor's degree or equivalent practical experience.
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.
5 years of experience with software development in one or more programming languages.

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.

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.

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