8 days ago
Montréal, CanadaMid Level
Responsibilities
- Design, train, and optimize foundational algorithms and machine learning systems.
- Lead end-to-end technical development from algorithmic design and experimental prototyping to production-grade architecture and scaled serving infrastructure.
- Partner 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 automated and human-in-the-loop evaluation methodologies to measure capability gains, latency and 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 conceptual formulation through implementation and deployment.
- Preferred experience developing, fine-tuning, or optimizing foundation models, including 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 to co-design technical architectures.
- Preferred experience in scientific analysis, technical problem-solving, and technical communication.
Benefits
- Canada base pay is CAD 185000–190000, plus a 15% bonus target, equity, and benefits.
- Benefits information is provided through Google’s benefits program.
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.