Associate Ai Evaluation Scientist

BMO Financial Group

Virtual, CA
Base: $67,200.00 - $124,200.00; bonus/equity: may ...
Fully remote
Python proficiency with data science libraries
Experience with llm-based systems
Foundational understanding of statistics
BMO Financial Group is seeking an Associate AI Evaluation Scientist to support the evaluation of machine learning models in a fully remote position. The role is ideal for early-career data scientists eager to enhance their expertise in AI evaluation and responsible practices

Job Summary

  • The role focuses on contributing to the data science execution of AI evaluations for safe and reliable banking experiences.
  • Candidates will work hands-on with machine learning models, particularly LLM-based systems, to run evaluations and analyze results.
  • BMO offers a comprehensive benefits package including health insurance, tuition reimbursement, and retirement savings plans.

Matching Summary

Match Score: 85

BMO Financial Group is seeking an Associate AI Evaluation Scientist to support the evaluation of machine learning models in a fully remote position. The role is ideal for early-career data scientists eager to enhance their expertise in AI evaluation and responsible practices.

Salary

Base: $67,200.00 - $124,200.00; Bonus/Equity: May include performance-based incentives and discretionary bonuses; Benefits: Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans

Skills & Requirements

Must-have

  • Python proficiency with data science libraries
  • Experience with LLM-based systems
  • Foundational understanding of statistics
  • Ability to write maintainable analysis code

Nice-to-have

  • Familiarity with PyTorch or TensorFlow
  • Interest in responsible AI principles
  • Experience with NLP or ML experimentation workflows

Key Requirements

  • 1-3 years of experience in data science or related field
  • Bachelor's or Master's degree in Computer Science or related quantitative discipline

Work Rights

Not specified

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