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Added 1 hour ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
Join EPAM's engineering team as a Senior Full-Stack Java Developer and take ownership of maintaining and modernizing a portfolio of enterprise-grade Gateway applications. You'll work in a…
Added 1 hour ago
M
Critical Environment Technician
Microsoft
Toronto, ON
- Full-time
…per process and procedure as needed. Ensures equipment and system settings are consistent with established parameters and designs. Communicates and/or escalates troubleshooting issues or…
Added 1 hour ago
GA
AI Platform Engineer
Gen AI Consulting Limited
Toronto, ON
- Contract
Internal Platform & API Engineering: Moving from traditional application builds to scalable internal platforms - FastAPI for API integrations and Kubeflow Pipelines for workflow…
Added 1 hour ago
GV
Technical Applications Engineering - Protection
GE Vernova
Markham, ON
- Full-time
…the grid automation domain, versatile in adapting new product platforms and mentor the junior members of the team and other colleagues. In this role, you will utilize your experience or…
Added 2 hours ago
OP
RF Systems Engineer
Open People Network (OPN)
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Osprey Systems is building Canada’s sovereign counter-drone capability. Our distributed detection and interception system is designed for the environments where everything else fails:…
Added 2 hours ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 2 hours ago
ES
Senior Business Analyst
EPAM Systems
Toronto, ON
- Full-time
As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by…
Added 2 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Apply business process re-engineering to improve services through cost-effective delivery approaches.
Added 2 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Apply business process re-engineering to improve services through cost-effective delivery approaches.
Added 2 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Apply business process re-engineering to improve services through cost-effective delivery approaches.
Added 2 hours ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Executes functional, integration, system, and regression tests.
Added 2 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Applies re-engineering concepts to promote business improvements through alternative and cost-effective service delivery approaches.
Added 2 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Executes functional, integration, system, and regression tests.
Added 2 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Executes functional, integration, system, and regression tests.
Added 3 hours ago
T
Data Products Manager
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
…using modern BI tools such as Power BI, maintains dashboard eco system in close coordination with Marketing and Commercial Operations team, and performs quality…
Added 3 hours ago
GV
Protection Applications Engineering Lead Expert
GE Vernova
Markham, ON
- Full-time
…the grid automation domain, versatile in adapting new product platforms and mentor the junior members of the team and other colleagues. In this role, you will utilize your experience or…
Added 4 hours ago
S
Technical Specifications Coordinator
SYSTRA
Montreal, QC
- Full-time
Reporting to the workstream Design Director and working in close collaboration with discipline leads, system engineering teams, civil infrastructure, rail systems, procurement, and project…

Google

Research Developer, Frontier AI Incubation, DeepMind

Montreal, QC, Canada

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Job details

Posting language: English
Posted: Oct 6, 2026

Original job description

Minimum 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.

Preferred qualifications:

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.

About the job:

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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 use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $185000 - $190000 (CAD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

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 our core technologies within production environments (e.g., Project Helix, agent workspaces, 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.

Apply About employer

More about this job

Responsibilities

Design, train, and optimize foundational machine learning algorithms and systems while leading end-to-end technical development from prototyping to production. Partner with product teams to integrate core technologies and formulate evaluation methodologies to measure model performance and efficiency.

Requirements

Requires a bachelor's degree in Computer Science or a related field and at least two years of experience in machine learning and programming in Python or C++. Candidates must also have one year of experience taking technical projects from conceptual formulation to implementation and deployment.

Skills

Python
C++
Machine Learning
Algorithm Design
Data Structures
Distributed Systems
Foundation Models
Reinforcement Learning
Supervised Fine-tuning
Inference Optimization
Retrieval-augmented Generation
Agentic Memory Architectures
Technical Architecture
Scientific Analysis
Technical Communication

Benefits

Bonus
Equity
Health Insurance

Visa sponsorship

Not detected in the job text

Keywords

Computer Science
Machine Learning
Mathematics
Statistics
Algorithm Design
Data Structures
Distributed Software Systems
Python
C++
Foundation Models
Reinforcement Learning
Supervised Fine-tuning
Parameter-efficient Tuning
Inference Optimization
Personalization
Adaptive Systems
User Modeling
Retrieval-augmented Generation
Agentic Memory Architectures
Large-scale Model Training
Technical Architecture
Scientific Analysis
Artificial Intelligence
Data Mining
Natural Language Processing
Hardware Performance Analysis
Software Performance Analysis
Compilers
Multimodal Reasoning
Project Helix

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