Python Job: Senior Machine Learning Software Engineer, Sequenc

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Job Skills

Company

Google

Location

Zürich - Switzerland

Job type

Full-Time

Python Job Details

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • Experience using programming languages such as C++ and Python.
  • Model-building experience or related research (conference / journal publications/ thesis/ personal projects).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields (e.g., Engineering, Mathematics, Information Technology).
  • Experience in Machine Learning subfields like Computer Vision/ Automated Machine Learning/ Graph Neural Networks.
  • Experience in sequence-based applications (Digital Ink/ / Automatic Speech Recognition / Natural-Language Understanding/ Natural Language Generation).
  • Experience with specialized Machine Learning infrastructure (e.g. TPUs) with Android and deploying on-device ML models.
  • Ability to take research from concept to product.

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 the core stroke-based recognition models, as well as new generation models, with new Machine Learning techniques, spanning the entire spectrum from recurrent nets to GNNs, from MLPs to self and cross-attention models, with multimodal approaches.
  • Improve and streamline Machine Learning training pipelines. This will touch both core stroke recognition models and novel page understanding and synthesis ones.
  • Collaborate cross-functionally with researchers, Engineers and product teams, to foster research that can be impactful in products and to bring research into product engagements, while also contributing to publishing that research in the academic community.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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