Senior Research Engineer, Applied Language

Mountain View, California, US

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Snapshot

The DeepMind Applied Language team is working on productionizing latest language ML research in real-world problems. Our vision is to build efficient and controllable language models that interact with humans and external knowledge sources. We collaborate closely with DeepMind research and multiple Alphabet teams.

The role

We look for candidates who are passionate about solving real-world problems with the latest research in natural language generation and understanding. We work with product teams to understand their objectives, product requirements, constraints, key metrics. We work with research teams to understand whether and how to apply latest research to real-world problems. We propose, build, evaluate and debug ML models and algorithms; we integrate our pipelines, models and predictions into production serving systems.

Previous experience with language models is highly preferred.

About you

In order to set you up for success as a Senior Research Engineer at DeepMind, we look for the following skills and experience:

  • MSc/PhD degree in computer science, mathematics, applied stats, machine learning or similar OR BSc and several years proven experience in an applied ML role
  • Experience in ML engineering and frameworks.
  • Strong track record of engineering and working with complex systems and codebases.
  • Experience in language models and language research.

 

In addition, the following would be an advantage: 

  • Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.
  • Experience in cross functional collaboration, with research teams and product teams.

Tags: Computer Science Engineering Machine Learning Mathematics ML models PhD Pipelines Research

Region: North America
Country: United States
Job stats:  22  4  0

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