Google DeepMind is one of the world’s leading AI research labs, and this

Research Developer

role sits right at the frontier of what’s possible. Based in

Montreal, QC , you’ll be embedded within the

Frontier AI Incubation

team — a group pushing the boundaries of foundational AI systems across multiple domains, from personalized model adaptation to multimodal reasoning and agentic workflows.

This isn’t a role where you’re maintaining existing pipelines. You’ll be doing end-to-end technical development — designing algorithms, running experiments, building production-grade architectures, and partnering directly with Google product and development teams to bring cutting-edge AI capabilities into real-world environments. The work spans research and product, and you’ll be expected to move fluidly between both.

About the Role: Research Developer, Frontier AI Incubation At the core of this position is the design, training, and optimization of

foundational algorithms and machine learning systems . That includes working on personalized model adaptation, contextual memory architectures,

dynamic prompt optimization , and

multimodal reasoning . You’ll lead technical development from early algorithmic design through to

production-grade architecture and scaled serving infrastructure , ensuring that promising research ideas can be deployed broadly and quickly.

Collaboration is central to how this team operates. You’ll partner directly with Google development and product teams to integrate core technologies into production environments — including

Project Helix , agent workspaces, and intelligent system integrations. You’ll also be responsible for formulating

novel evaluation methodologies ,



both automated and human-in-the-loop, to measure capability gains, latency and compute efficiency, alignment, and personalization fidelity.

Benefits and Salary This position offers a salary range of

$185,000 – $190,000 CAD per year , plus a

15% bonus target , equity, and a full benefits package. Google provides a comprehensive benefits programme — more details are available on Google’s careers benefits page.

Job Details Company: Google DeepMind

Location: Montreal, QC, Canada

Pay: $185,000 – $190,000 CAD/year + 15% bonus target + equity + benefits

Responsibilities In this role, you’ll be operating across the full technical stack — from early-stage algorithm design through to scaled deployment. The work demands both rigorous scientific thinking and solid engineering execution, and your contributions will directly shape how Google DeepMind’s

frontier AI systems

reach production and users at scale.

Design, train, and optimize

foundational algorithms and ML systems, including personalized model adaptation, agentic workflows, contextual memory architectures, dynamic prompt optimization, and multimodal reasoning

Lead end‑to‑end technical development

from algorithmic design and experimental prototyping through to production‑grade architecture and scaled serving infrastructure

Partner directly





with Google development and product teams to integrate and harden core technologies within production environments, including Project Helix, agent workspaces, and intelligent system integrations

Formulate novel evaluation methodologies , both automated and human‑in‑the‑loop, to measure capability gains, latency and compute efficiency, alignment, and personalization fidelity

Requirements / Skills Google DeepMind is looking for someone who combines a strong foundation in computer science or machine learning with hands‑on experience building and deploying ML systems. The ideal candidate is equally comfortable in a research context and a production engineering environment, and can navigate both with confidence.

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 programming experience

in Python or C++

1 year of experience

taking technical projects or ML systems from conceptual formulation through to implementation and deployment

Experience with foundation model development , including techniques such as reinforcement learning from human/AI feedback, supervised fine‑tuning, parameter‑efficient tuning, or inference optimization (preferred)

Experience or interest in personalization , adaptive systems, user modelling, retrieval‑augmented generation, or agentic memory architectures (preferred)

Experience with ML frameworks

and large‑scale model training or serving infrastructure (preferred)

Exp

📌 Research Developer, Frontier AI Incubation, DeepMind (Winnipeg)
🏢 Google Canada
📍 Winnipeg