Staff Software Developer, Cloud Applied AI

7 days ago

Kitchener, Ontario, Canada Google Inc. Full time
Staff Software Developer, Cloud Applied AI

corporate_fare Google place Waterloo, ON, Canada

Apply

  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience with machine learning algorithms and tools, or Applied ML (e.g., LLMs, Generative AI, NLP, Recommendations).
Preferred qualifications:
  • Master's degree or PhD in Computer Science or a related technical field.
  • 6 years of experience in Applied Machine Learning, including teams responsible for business metrics on user-facing products.
  • 3 years of experience working in a complex, matrixed organization.
  • Experience in designing APIs for external customers.
About the job

Google Cloud's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for software developers 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 developer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our software developers 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 Cloud Applied AI teams goal is to support enterprises to innovate conversational AI products such as contact centers, conversational interfaces on websites, devices and mobile apps. We apply state-of-the-art of AI/ML to the conversational problems and work on building the next generation of customer service.

Responsibilities
  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  • Collaborate with cross-functional teams to design and implement software systems that incorporate ML/LLM components.
  • Provide technical leadership on high-impact projects.
  • Build customizable solutions for customers in need of Voice Assistant interfaces or products.
  • Be up-to-date with emerging trends and technologies in machine learning.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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