Staff Software Engineer, Generative Ai, Applied Innovation Factory

Google Google · Big Tech · London, United Kingdom

Staff Software Engineer role focused on applying Generative AI and Machine Learning to solve real-world customer problems within Google Cloud. The role involves driving experiments, partnering with product/engineering teams and customers, and contributing to building practical solutions. Requires significant experience in ML design, infrastructure, training, and evaluation, with a focus on generative AI applications.

What you'd actually do

  1. Drive the creation and execution of experiments across machine learning domains.
  2. Assess technical tests and develop practical, testable solutions.
  3. Partner with Google Cloud Platform (GCP) product and engineering teams, Google Research, and GCP customers to identify and implement real-world applications of generative AI and machine learning technologies.
  4. Contribute to building a positive team culture that emphasizes teamwork, innovation, and collaboration including playing a key role in shaping and executing the team's tactical goal.
  5. Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Skills

Required

  • Software development
  • Data structures and algorithms
  • ML design
  • ML infrastructure
  • Model deployment
  • Model evaluation
  • Data processing
  • Debugging
  • Fine tuning
  • Machine learning model design
  • Machine learning model training
  • Machine learning model evaluation
  • Generative AI

Nice to have

  • Technical leadership
  • Project team leadership
  • Setting technical direction
  • Guiding others
  • Hypothesis testing
  • Customer empathy

What the JD emphasized

  • 8 years of experience in software development
  • 5 years of experience with ML design and ML infrastructure
  • 5 years of experience designing, training, and evaluating machine learning models
  • Experience using generative AI, to solve real-world issues

Other signals

  • Generative AI
  • Machine Learning
  • Cloud
  • Customer facing
  • Innovation