Research Engineer: Foundations AI & Scalable Systems

Google Inc.; Montreal (administrative region); Hybrid; CAD 185,000 - 190,000; Full time

Job summary

Google DeepMind in Montreal, QC, Canada is seeking a Share Research Developer for Frontier AI Incubation. The role involves designing, prototyping, and deploying ML systems at scale, with collaboration across research and product teams to advance AI innovations.

Ideal candidates have a strong ML background, proven experience turning ideas into deployable systems, and proficiency in Python or C++. This is a research-enabled engineering position aimed at impactful, large-scale AI projects.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, or equivalent practical experience.
• 2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
• 2 years of experience programming in Python or C++.
• 1 year of experience taking technical projects or machine learning systems from conceptual formulation to implementation and deployment.

Responsibilities

• Design, train, and optimize foundational algorithms and ML systems (e.g., personalized model adaptation, agentic workflows, contextual memory architectures, dynamic prompt optimization, multimodal reasoning).
• Lead end-to-end technical development from algorithmic design and experimental prototyping to production-grade architecture and scaled serving infrastructure.
• Partner directly with Google development and product teams to integrate core technologies into production environments.
• Formulate novel automated and human-in-the-loop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization fidelity.

Skills

Bachelor's degree in CS/ML/Math/Stats

2 years ML/Algorithm experience

1 year project deployment experience

Education

Bachelor's degree

Tools

Python

C++

Job description

Google DeepMind in Montreal, QC, Canada is seeking a Share Research Developer for Frontier AI Incubation. The role involves designing, prototyping, and deploying ML systems at scale, with collaboration across research and product teams to advance AI innovations.

Ideal candidates have a strong ML background, proven experience turning ideas into deployable systems, and proficiency in Python or C++. This is a research-enabled engineering position aimed at impactful, large-scale AI projects.