4 hours ago
Montréal, CanadaMid Level
H1B Sponsor
Responsibilities
- Design, train, and optimize foundational algorithms and machine learning systems for personalization, agentic workflows, contextual memory, dynamic prompt optimization, and multimodal reasoning.
- Lead technical development from algorithmic design and experimental prototyping through production architecture and scaled serving infrastructure.
- Partner with Google development and product teams to integrate and harden core technologies in production environments, including Project Helix and agent workspaces.
- Develop automated and human-in-the-loop evaluation methods covering capability gains, latency, compute efficiency, alignment, and personalization fidelity.
Requirements
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or Statistics, or equivalent practical experience.
- At least 2 years of experience in machine learning, algorithm design, data structures, or distributed software systems.
- At least 2 years of programming experience in Python or C++.
- At least 1 year of experience taking technical projects or machine learning systems from concept through implementation and deployment.
- Preferred experience developing, fine-tuning, or optimizing foundation models using reinforcement learning from human or AI feedback, supervised fine-tuning, parameter-efficient tuning, or inference optimization.
- Preferred experience or interest in personalization, adaptive systems, user modeling, retrieval-augmented generation, or agentic memory architectures.
- Preferred experience with machine learning frameworks and large-scale model training or serving infrastructure.
- Preferred experience collaborating across research and product boundaries and conducting scientific analysis, technical problem-solving, and technical communication.
Benefits
- 15% bonus target, equity, and benefits are offered in addition to base pay.
- The role is part of Google DeepMind's interdisciplinary research environment with opportunities to collaborate with universities and publish papers.
- The position is based in Canada; specific remote or office arrangement is not stated.
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh