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Top Research Scientist Jobs in Ottawa

2 Days Ago
Ottawa, ON
Remote
Hybrid
141 Employees
Entry level
141 Employees
Entry level
Transportation
As a Research Scientist at Waabi, you will lead and contribute to AI research projects, focusing on developing algorithms for self-driving technology and their implementation in production systems. Your work will encompass problem-solving across various areas, including perception, motion forecasting, and generative modeling, while also ensuring code quality and publishing findings at top conferences.
2 Days Ago
Ottawa, ON
53 Employees
Entry level
53 Employees
Entry level
Artificial Intelligence • Machine Learning • Software
The Research Scientist will track and analyze threats to AI systems, develop AI Firewall strategies, lead red-teaming exercises for AI technologies, and publish insights on AI safety. They will collaborate with teams to translate research findings into product features.
11 Days Ago
Ottawa, ON
Remote
1,400 Employees
Senior level
1,400 Employees
Senior level
eCommerce • Information Technology • On-Demand • Professional Services • Software
The Staff Applied Scientist, Monetization will be responsible for leading applied science initiatives focused on marketplace monetization, deploying machine learning systems, analyzing data, and collaborating with cross-functional teams. The person will utilize deep expertise in machine learning to improve operational efficiency and drive business impact in a dynamic marketplace.
9 Days Ago
Ottawa, ON
Remote
29 Employees
Mid level
29 Employees
Mid level
Insurance
As a Research Scientist, you'll work with a team to develop severe natural hazard models, carrying out data cleaning, model calibration, and statistical evaluations. You will write modular scientific code using Python, manage project priorities, and engage with experts to provide solutions based on scientific literature.
2 Days Ago
Ottawa, ON
Remote
8,399 Employees
Junior
8,399 Employees
Junior
Biotech
The Scientist I role at Cytiva involves managing projects of intermediate complexity, collaborating with internal and external customers on validation testing, maintaining knowledge of regulatory trends, analyzing laboratory data, and supporting internal projects. It requires effective communication and collaboration within cross-functional teams.
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