Research Developer, Frontier AI Incubation

At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We are looking for a Research Developer to join our Frontier AI Incubation team in Montreal, QC, Canada.

• Design, train, and optimize foundational algorithms and ML systems (e.g., 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 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 (e.g., Project Helix, agent work spaces, and intelligent system integrations).
• Formulate novel automated and human-in-the-loop evaluation methodologies to measure capability gains, latency/compute efficiency, alignment, and personalization fidelity.

• 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.

• Experience developing, fine-tuning, or optimizing foundation models including techniques such as reinforcement learning from human/AI feedback, supervised fine-tuning, parameter-efficient tuning, or inference optimization.
• Experience or interest in personalization, adaptive systems, user modeling, retrieval-augmented generation, or agentic memory architectures.
• Experience with machine learning frameworks and large-scale model training or serving infrastructure.
• Experience collaborating across research and product boundaries to co-design technical architectures.
• Experience in scientific analysis, technical problem-solving, and technical communication.

Canada: $185,000 - $190,000 CAD + 15% bonus target + equity + benefits.

Bachelor's degree in Computer Science, Machine Learning, Mathematics, Statistics, or equivalent. 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 ML projects from concept to deployment.