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Applied Scientist, AI Risk: Build Safer AI for Insurance

Armilla AI

Toronto

On-site

CAD 80,000 - 120,000

Full time

Yesterday
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Job summary

A cutting-edge startup is seeking an exceptional Applied Scientist focused on AI Risk in Toronto, Ontario. The role involves advancing understanding of AI systems and developing risk assessment frameworks. Candidates should possess an advanced degree, a track record of applied research, and expertise in machine learning. Join a dynamic team to influence how the insurance industry evaluates AI risk, combining technical challenges with impactful work at the intersection of AI and insurance.

Benefits

Professional growth opportunities
Startup culture and agility
Pioneering a new frontier in AI

Qualifications

  • Demonstrated research experience in AI/ML.
  • Experience building AI/ML systems from conception to deployment.
  • Hands-on experience with model evaluation, testing, and validation.

Responsibilities

  • Conduct deep technical research into AI model behavior.
  • Design and develop AI systems that assess safety and reliability.
  • Build production-grade tooling for automated AI risk assessment.

Skills

Machine Learning fundamentals
Python programming
Model evaluation and testing
Intellectual curiosity
Problem-solving

Education

Advanced degree in Computer Science, Machine Learning, Statistics, or related field

Tools

PyTorch
TensorFlow
JAX
NumPy
Pandas
Scikit-learn
Job description
A cutting-edge startup is seeking an exceptional Applied Scientist focused on AI Risk in Toronto, Ontario. The role involves advancing understanding of AI systems and developing risk assessment frameworks. Candidates should possess an advanced degree, a track record of applied research, and expertise in machine learning. Join a dynamic team to influence how the insurance industry evaluates AI risk, combining technical challenges with impactful work at the intersection of AI and insurance.
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