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Compare covariance and correlation.
Statistics & Experimentation
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Statistics & Experimentation
Asked at Anthropic • 13 days ago
How do you stay up-to-date with the latest developments in AI?
Product Manager
Behavioral
+2 more
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Product Manager
Behavioral
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How do you turn analysis into business action?
Business Analyst
Data Analysis
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Business Analyst
Data Analysis
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What recommendation did you make based on your analysis, and what was the impact?
Business Analyst
Data Analysis
+2 more
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Business Analyst
Data Analysis
+2 more
Asked at Anthropic, OpenAI • 6 days ago
What's your approach to prompt engineering?
Product Manager
Coding
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Product Manager
Coding
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Asked at Anthropic • a month ago
How do you keep users’ data safe and private when building AI systems?
Machine Learning Engineer
Concept
+1 more
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Machine Learning Engineer
Concept
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Asked at Anthropic • 6 days ago
What are the risks of assuming LLMs think or feel like humans?
Product Manager
Technical
+4 more
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Product Manager
Technical
+4 more
Asked at Perplexity AI • 2 months ago
What testing methodologies are commonly used to ensure reliability and performance of AI models in production environments?
Machine Learning Engineer
Concept
+1 more
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Machine Learning Engineer
Concept
+1 more
Asked at Anthropic, OpenAI • a month ago
How would you adapt a generative AI model to perform well in a specific domain?
Machine Learning Engineer
Technical
+2 more
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Machine Learning Engineer
Technical
+2 more
Difference between power and confidence level.
Statistics & Experimentation
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Statistics & Experimentation
Explain the statistical background behind power.
Statistics & Experimentation
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Statistics & Experimentation
What are the common pitfalls of A/B testing?
Statistics & Experimentation
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Statistics & Experimentation
What are the Z and t-tests?
Statistics & Experimentation
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Statistics & Experimentation
Describe hypothesis testing and p-values in layman’s terms.
Statistics & Experimentation
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Statistics & Experimentation
Asked at Anthropic, OpenAI • 6 days ago
How do you adjust the creativity of generative AI models?
Machine Learning Engineer
Concept
+1 more
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Machine Learning Engineer
Concept
+1 more
How would you measure correlation in the presence of outliers?
Statistics & Experimentation
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Statistics & Experimentation
If you sample 10,000 users multiple times, what would the distribution of false positives look like?
Statistics & Experimentation
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Statistics & Experimentation
Why might an unbiased estimator not always be preferred over a biased one?
Statistics & Experimentation
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Statistics & Experimentation
Why might a statistically significant result not always be practically significant?
Statistics & Experimentation
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Statistics & Experimentation
How do you detect novelty or primary effects in experiments?
Statistics & Experimentation
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Statistics & Experimentation

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Interview Questions

Compare covariance and correlation.

How do you stay up-to-date with the latest developments in AI?

How do you turn analysis into business action?

What recommendation did you make based on your analysis, and what was the impact?

What's your approach to prompt engineering?

How do you keep users’ data safe and private when building AI systems?

What are the risks of assuming LLMs think or feel like humans?

What testing methodologies are commonly used to ensure reliability and performance of AI models in production environments?

How would you adapt a generative AI model to perform well in a specific domain?

Difference between power and confidence level.

Explain the statistical background behind power.

What are the common pitfalls of A/B testing?

What are the Z and t-tests?

Describe hypothesis testing and p-values in layman’s terms.

How do you adjust the creativity of generative AI models?

How would you measure correlation in the presence of outliers?

If you sample 10,000 users multiple times, what would the distribution of false positives look like?

Why might an unbiased estimator not always be preferred over a biased one?

Why might a statistically significant result not always be practically significant?

How do you detect novelty or primary effects in experiments?

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