Python Job: Software Engineer

About the job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities

• Improve Graph understanding models, using a combination of GNN and attention-based models.
• Improve core stroke-based recognition models with new Machine Learning techniques, spanning the entire spectrum: from recurrent nets to GNNs, from MLPs to self- and cross-attention models.
• Improve and streamline Machine Learning training pipelines. This will touch both core stroke recognition models and novel page understanding and synthesis ones.