This Senior Software Developer role sits on Google's Workspace Safety and Security Team (AI/ML GenAI) in Waterloo, Ontario . Pay is listed at $182,000 to $186,000 CAD a year, plus a 15% bonus target and equity.

You’ll build content safety and security work for the team: data pipelines, the code behind them, and better training and evaluation datasets. You’ll also review other developers' code and take part in design reviews with peers and stakeholders.

About the Role: Senior Software Developer, Workspace Safety and Security Team

The team's roadmap centres on content safety and security , and you’ll carry out the goals set for it. You’ll work across several teams to raise the quality of the training and evaluation datasets the team relies on, and you’ll design scalable data pipelines that different work streams within the team can share.

Day to day, you’ll write and test product or system code and review code from other developers , giving feedback on style guidelines, checking code in, accuracy, testability and efficiency. You’ll also take part in, or lead, design reviews with peers and stakeholders to choose between available technologies.

Google describes its software developers as people who work on projects critical to the company's needs, with chances to switch teams and projects over time.

It asks them to be versatile, show leadership qualities and take on new problems across the full stack. In this role you’ll manage project priorities, deadlines and deliverables, and design, develop, test, deploy, maintain and enhance software solutions.

Benefits and Salary

The listed pay for Canada is $182,000 to $186,000 CAD a year,



with a 15% bonus target , equity and benefits. Google says individual pay depends on job-related skills, experience, and relevant education or training.

The posting points to Google's own benefits page for details and does not list specific benefits itself.

Job Details

Company: Google

Location: Waterloo, ON, Canada

Pay: $182,000 to $186,000 CAD per year + 15% bonus target + equity + advantages

Responsibilities

The duties below cover roadmap delivery, data work, code and design review. They are all tied to content safety and security for the team.

- Deliver the roadmap goals set for the team on content safety and security.
- Work with other teams to improve the quality of the training and evaluation datasets used across the team.
- Design and implement scalable data pipelines that serve various work streams within the team.
- Write and test product or system development code.
- Review code from other developers and give feedback on best practices such as style guidelines, checking code in, accuracy, testability and efficiency.
- Take part in or lead design reviews with peers and stakeholders to decide among available technologies.
- Manage project priorities, deadlines and deliverables.
- Design, develop, test, deploy, maintain and enhance software solutions.





Requirements / Skills

The minimum qualifications combine general software experience with hands-on machine learning and GenAI work. A longer list of preferred qualifications follows, covering advanced degrees, algorithms, leadership and accessibility.

- Bachelor's degree or equivalent practical experience (required).
- 5 years of software development experience in one or more programming languages (required).
- 3 years of end-to-end machine learning experience, such as model deployment, model evaluation, data processing and debugging (required).
- 1 year of GenAI experience with techniques such as LLMs, Multi-Modal or Large Vision Models, or with GenAI-related concepts such as language modeling and computer vision (required).
- Master's degree or PhD in Computer Science or a related technical field (preferred).
- 5 years of experience with data structures and algorithms (preferred).
- 3 years in a complex, matrixed organization involving cross-functional or cross-business projects (preferred).
- 1 year in a technical leadership role (preferred).
- Experience developing accessible technologies (preferred).

Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging). 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

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📌 Senior Software Developer, Workspace Safety and Security Team, AI/ML GenAI (London)
🏢 Google Canada
📍 London