Minimum qualifications:

  • Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
  • 7 years of experience in software engineering including 3 years in machine learning, or 3 years with a PhD degree in Computer Science or machine learning.
  • Experience coding in C++, C, or Python.
  • Ability to speak and write in English fluently.

Preferred qualifications:

  • Master's degree or PhD degree in Computer Science, Artificial Intelligence, machine learning, or related technical field.
  • Experience with one or more of the following: Natural Language processing, text understanding, classification, pattern recognition, speech recognition, recommendation systems, targeting systems, ranking systems, or similar.
  • Experience in building, deploying, and improving machine learning models including TensorFlow and PyTorch in real-world products.
  • Experience architecting and developing solutions to ambiguous problems with significant impact.
  • Experience in meta-learning and model optimization such as pruning, quantization, and knowledge distillation.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for an excellent, safe, and coherent experiences for our users, and drive the pace of innovation for every developer. We review Google’s products to build central solutions, break down technical barriers, and strengthen existing systems. As the Core team, we have a unique opportunity to impact important technical decisions across the company.

Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.

Responsibilities

  • Lead designs of major software components, systems, and features.
  • Design, develop, test, deploy, maintain, and improve machine learning framework and infrastructure, as well as optimizing models for production deployment.
  • Provide technical leadership and growth opportunities for a team of machine learning software engineers.
  • Partner closely with other engineering teams to drive organizational alignment and manage individual project priorities, deadlines, and deliverables.