Snorkel Ai Interview Questions

Snorkel Ai Interview Guides

Click or hover over a slice to explore questions for that topic.
Data Structures & Algorithms
(72)
SQL
(57)
Machine Learning
(56)
Probability
(31)
Product Sense & Metrics
(21)

Overview

  • Snorkel AI is revolutionizing the field of artificial intelligence by building the definitive AI data development platform. Originally a research project at Stanford AI Lab, Snorkel has evolved to empower some of the world's largest organizations across diverse sectors—science, finance, healthcare, and more—to create custom AI solutions quickly and effectively using their own data.

At Snorkel AI, we're driven by the mission to democratize AI, making it accessible and practical for everyone. Our team is dedicated to cutting-edge research and innovative solutions that transform how businesses leverage AI. We're committed to fostering an inclusive, dynamic environment that supports personal growth, diverse contributions, and groundbreaking advancements in AI.

Ready to shape the future of AI with us? Dive into this guide to learn more about our interview process and the exciting opportunities at Snorkel AI!

Snorkel Ai Interview Questions

Practice for the Snorkel Ai interview with these recently asked interview questions.

QuestionTopicDifficulty
SQL
Easy

We’re given two tables, a users table with demographic information and the neighborhood they live in and a neighborhoods table.

Write a query that returns all neighborhoods that have 0 users. 

Example:

Input:

users table

Columns Type
id INTEGER
name VARCHAR
neighborhood_id INTEGER
created_at DATETIME

neighborhoods table

Columns Type
id INTEGER
name VARCHAR
city_id INTEGER

Output:

Columns Type
name VARCHAR
SQL
Easy
SQL
Medium
Loading pricing options

View all Snorkel Ai questions

Challenge

Check your skills...
How prepared are you for working at Snorkel Ai?

Snorkel Ai Salaries by Position

$156K
$178K
ML Engineer
Median: $160K
Mean (Average): $165K
Data points: 3
Software Engineer*
$140K
Software Engineer
Median: $140K
Mean (Average): $140K
Data points: 1

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the ML Engineer role pays the most with a $165,000 base salary while the Software Engineer role on average pays the least with a $140,000 base salary.

Discussion & Interview Experiences

?
There are no comments yet. Start the conversation by leaving a comment.