This posting is for a new vacancy.
Google utilizes AI tools to assist in assessing candidates in our hiring processes.
If needed, use this French Canadian translation: "Google utilise des outils d'IA pour faciliter l'évaluation des candidats dans le cadre de nos processus de recrutement."
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Waterloo, ON, Canada; Toronto, ON, Canada.
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- 5 years of experience with data structures and algorithms.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 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 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 Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, Customer Experience Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), and other domain packaged solutions. We deliver new 0-to-1 capabilities with startup agility at the forefront of AI, collaborating directly with model builders. Join us to shape the future of AI in a fast-paced, collaborative environment.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Canada: $182000 - $187000 (CAD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
- Develop and implement investigative tools for AI Agent performance.
- Design and build recommendation systems for AI Agents.
- Develop skill discovery and matching capabilities for AI Agents.
- Manage stakeholders effectively and solve ambiguous technical challenges, contributing to the overall strategy and road map for the team.
- Provide coaching to your team, and contribute to Google's culture and operations.
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.
