MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 years of experience with AI/ML techniques including Generative AI, Natural Language Processing (NLP), information retrieval, etc.

PREFERRED QUALIFICATIONS:

• Master’s degree in a technical field or equivalent practical experience.

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, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large 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.
In this role, you will have expertise in socio-technical research, Machine Learning (ML), and human-computer interaction. This allows you to create algorithms, methods, tools, datasets, and applications that unlock new possibilities of human-AI collaboration.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world’s fast-paced business needs.

• Design, and implement culturally-aware evaluation.
• Collect data for pipelines and infrastructure.
• Design, and implement autoraters.
• Support evaluations in OR.
• Support new feature development.
  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