Interview Questions

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Asked at Anthropic • a month ago
You have one huge file coming in over a constrained link. How do you distribute it to thousands of machines?
Software Engineer
System Design
+1 more
1 answer
"Constrain is the inbound link, so the solution is to download the file once and then distribute it internally, rather than having every machine hit that link independently. So this may call for a central staging node and p2p distribution (bit torrent style)"
Joshua K. - "Constrain is the inbound link, so the solution is to download the file once and then distribute it internally, rather than having every machine hit that link independently. So this may call for a central staging node and p2p distribution (bit torrent style)"See full answer
Software Engineer
System Design
+1 more
Asked at LangChain • a month ago
Prep a 20 minute technical demo of LangSmith for a technical audience new to generative AI, and show prompt engineering, testing, and monitoring.
Machine Learning Engineer
Artificial Intelligence
+2 more
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Machine Learning Engineer
Artificial Intelligence
+2 more
Asked at LangChain • a month ago
Build a compelling customer support bot using LangGraph on top of the provided fake SQL data for a music company.
Machine Learning Engineer
Coding
+1 more
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Machine Learning Engineer
Coding
+1 more
Asked at Anthropic • a month ago
Implement an in-memory database in CodeSignal, with each round adding more functionality.
Machine Learning Engineer
Coding
+1 more
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Machine Learning Engineer
Coding
+1 more
Asked at Anthropic • a month ago
Implement a streaming database with the given constraints and requirements.
Machine Learning Engineer
Coding
+1 more
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Machine Learning Engineer
Coding
+1 more

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Asked at Anthropic • a month ago
How would you think about aligning an AI model with the intended objectives and preventing misaligned or harmful behavior?
Machine Learning Engineer
Artificial Intelligence
+1 more
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Machine Learning Engineer
Artificial Intelligence
+1 more
Asked at OpenAI • a month ago
Looking at the SMB segment, what is OpenAI doing well versus competitors, and what might competitors be doing better?
Growth Marketing Manager
Analytical
+1 more
Add answer
Growth Marketing Manager
Analytical
+1 more
Asked at OpenAI • a month ago
Tell me about a time you ran and designed a growth experiment with product, engineering, and design.
Growth Marketing Manager
Behavioral
+1 more
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Growth Marketing Manager
Behavioral
+1 more
Asked at OpenAI • a month ago
Walk me through how you've used user funnel data to drive an experiment.
Growth Marketing Manager
Data Analysis
+1 more
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Growth Marketing Manager
Data Analysis
+1 more
Asked at OpenAI • a month ago
Tell me about a time your work had a negative business impact. What happened and why?
Growth Marketing Manager
Behavioral
Add answer
Growth Marketing Manager
Behavioral
Asked at Nvidia • a month ago
How do you handle model drift?
Machine Learning Engineer
Concept
+1 more
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Machine Learning Engineer
Concept
+1 more
Asked at Nvidia • a month ago
How do you work with people from different disciplines and onboard them onto the platform?
Machine Learning Engineer
Behavioral
+1 more
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Machine Learning Engineer
Behavioral
+1 more
Asked at xAI • a month ago
Assume the model needs a 20% precision improvement in 2 weeks to 1 month and you have 8 to 10 contractors. How would you approach it, what data would you use, and how would you leverage the team?
Product Manager
Data Analysis
+1 more
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Product Manager
Data Analysis
+1 more
Asked at xAI • a month ago
If you were building an autocomplete experience, how would you use underlying data to predict the next word a person is going to type?
Product Manager
Machine Learning
+1 more
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Product Manager
Machine Learning
+1 more
Asked at xAI • a month ago
How have you led teams at scale to improve models or algorithms post-training, especially using contractors?
Product Manager
Machine Learning
+1 more
Add answer
Product Manager
Machine Learning
+1 more
Asked at Uber • a month ago
How would you design the gift card redemption flow?
Product Manager
Product Design
+1 more
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Product Manager
Product Design
+1 more
Asked at Uber • a month ago
How would you 4x adoption of Uber Grocery?
Product Manager
Analytical
+1 more
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Product Manager
Analytical
+1 more
Asked at Uber • a month ago
Uber Eats entered 'U City' two years ago, a competitor entered four years ago, and we still have only about 18% market share. Diagnose what is going on and what you would do to improve growth.
BizOps & Strategy
Analytical
+2 more
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BizOps & Strategy
Analytical
+2 more
Asked at Reddit • a month ago
Tell me about the projects on your resume and how they fit what this team needs.
Machine Learning Engineer
Behavioral
+1 more
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Machine Learning Engineer
Behavioral
+1 more
Asked at Reddit • a month ago
What do you do when you have missing data, different feature scales, or a model that is overfitting or underfitting?
Machine Learning Engineer
Concept
+1 more
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Machine Learning Engineer
Concept
+1 more

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Interview Questions

You have one huge file coming in over a constrained link. How do you distribute it to thousands of machines?

Prep a 20 minute technical demo of LangSmith for a technical audience new to generative AI, and show prompt engineering, testing, and monitoring.

Build a compelling customer support bot using LangGraph on top of the provided fake SQL data for a music company.

Implement an in-memory database in CodeSignal, with each round adding more functionality.

Implement a streaming database with the given constraints and requirements.

How would you think about aligning an AI model with the intended objectives and preventing misaligned or harmful behavior?

Looking at the SMB segment, what is OpenAI doing well versus competitors, and what might competitors be doing better?

Tell me about a time you ran and designed a growth experiment with product, engineering, and design.

Walk me through how you've used user funnel data to drive an experiment.

Tell me about a time your work had a negative business impact. What happened and why?

How do you handle model drift?

How do you work with people from different disciplines and onboard them onto the platform?

Assume the model needs a 20% precision improvement in 2 weeks to 1 month and you have 8 to 10 contractors. How would you approach it, what data would you use, and how would you leverage the team?

If you were building an autocomplete experience, how would you use underlying data to predict the next word a person is going to type?

How have you led teams at scale to improve models or algorithms post-training, especially using contractors?

How would you design the gift card redemption flow?

How would you 4x adoption of Uber Grocery?

Uber Eats entered 'U City' two years ago, a competitor entered four years ago, and we still have only about 18% market share. Diagnose what is going on and what you would do to improve growth.

Tell me about the projects on your resume and how they fit what this team needs.

What do you do when you have missing data, different feature scales, or a model that is overfitting or underfitting?

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