The Coinbase Machine Learning Engineer interview guide, interview questions, salary data, and interview experiences.

Coinbase Machine Learning Engineer Interview Guide

Getting ready for an Machine Learning Engineer interview at Coinbase? The Coinbase Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Coinbase Machine Learning Engineer roles.</li>
<li>Gain insights into the Machine Learning Engineer interview process at Coinbase.</li>
<li>Practice real Coinbase Machine Learning Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Coinbase Machine Learning Engineer interview.


Getting ready for an Machine Learning Engineer interview at Coinbase? The Coinbase Machine Learning Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Coinbase Machine Learning Engineer roles.
- Gain insights into the Machine Learning Engineer interview process at Coinbase.
- Practice real Coinbase Machine Learning Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Coinbase Machine Learning Engineer interview.
        

Overview

Challenge

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Coinbase Machine Learning Engineer Interview Process

Data Structures & Algorithms

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find the missing integer from a array of consequtive integers

Find the Missing Number

String Shift

Given a list of integers, and an integer N, write a function to find all combinations that sum to the value N.

Sum to N

Minimum Change

Machine Learning

Encoding Categorical Features

Coefficients of Logistic Regression

Say you are given a dataset of perfectly linearly separable data. What would happen when you run logistic regression?

Perfectly Separable

Bank Fraud Model

Rebalancing outcome probabilities for a classifier on imbalanced data.

Rebalance Probabilities

Probability

Mutated Offspring

Coin Flip Probability

Same Side Probability

Approximate Ad Views

Fake Algorithm Reviews

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Correlation in Regression

Describe linear regression to various audiences with different levels of knowledge.

Explaining Linear Regression to Different Audiences

What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

Brainteasers

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Expected Loops

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Bagging vs Boosting

Given a string, write a function to determine if it is palindrome or not.

Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.

Example:

Input:

<pre tabindex="0" class="chroma"><code>word1 = &#34;tree&#34;
word2 = &#34;radar&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def is_palindrome(word1) -&gt; False
def is_palindrome(word2) -&gt; True
</code></pre>

Given a string, write a function to determine if it is palindrome or not.

String Palindromes

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

What is the difference between Logistic and Linear Regression?

When would use one instead of the other in practice?

Given a <code>users</code> table, write a query to return only its duplicate rows.

Example:

Input:

<code>users</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>
</tbody>
</table>

Duplicate Rows

Create a class named <code>LRUCache</code> that implements the behavior expected of a Least Recently Used (LRU) Cache.

The <code>LRUCache</code> class implements the following methods:

<ul>
<li><code>__init__(self, capacity)</code> - initializes the object and takes in a capacity parameter specifying the maximum capacity of the cache.</li>
<li><code>get_if_exists(self, key) -&gt; Any|None</code> - gets a value based on a key. If the key exists, returns the associated value. If the key has expired or did not exist in the first place, returns <code>None</code>.</li>
<li><code>put(self, key, value)</code> - places a value inside the cache. In the case wherein the cache is full, invalidates the least recently used element. When two keys collide, the older value should be invalidated in place of the new one.</li>
</ul>

Example:

<pre tabindex="0" class="chroma"><code>cache = LRUCache(2)
cache.put(&#34;sample&#34;, 55)
cache.get_if_exists(&#34;sample&#34;) # returns 55
cache.get_if_exists(&#34;key&#34;) # returns None
cache.put(&#34;hello&#34;, 10) 
cache.put(&#34;sample&#34;, 9)
cache.put(&#34;world&#34;, 5)
cache.get_if_exists(&#34;hello&#34;) # returns None
</code></pre>

Notes:

<ul>
<li>It is assured that the value in the <code>put</code> method will never receive a <code>None</code> value. Moreover, it is assured that the capacity will always be &gt; 0.</li>

<li>All operations must be O(1).</li>

<li>Aside from Python’s standard dictionary implementation (<code>{}</code>), you may not use any other built-in data structures.</li>
</ul>

LRU Cache 1

Write a function <code>fib</code> which takes an integer <code>n</code> and returns the nth fibonacci number. For this question, <code>fib</code> MUST be recursively defined.

Note: <code>for</code> and <code>while</code> keywords are disabled for this question, as well as <code>functools</code>. Any workarounds around this restriction is prohibited.

Example:

Input:

<pre tabindex="0" class="chroma"><code>n = 4
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def fib(n) -&gt; 3
# the sequence is [1, 1, 2, 3, 5, 8...]
</code></pre>

Implement a dynamic recursive fibonacci function.

Impossibly Iterative Fibonacci

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.

Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>N = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def prime_numbers(N) -&gt; [2,3]
</code></pre>

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Regularization and cross-validation are two common techniques used to improve the performance of machine learning algorithms.

When should you use one versus the other?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Regularization Example

Regularization and Validation

<h1>Binary Tree Validation</h1>

You are given the root of a binary tree. You need to determine if it is a valid binary search tree (BST).

A valid BST is defined as follows:

<ul>
<li>The left subtree of a node contains only nodes with values less than or equal to the node’s value.</li>
<li>The right subtree of a node contains only nodes with values greater than or equal to the node’s value.</li>
<li>Both the left and right subtrees must also be binary search trees.</li>
</ul>

Given the function <code>def is_valid_bst(root: Node) -&gt; bool:</code>, return True if the binary tree is a valid BST. Otherwise, return False.

<h3>Example:</h3>

Input:

<img src="/s3/questions/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png

Output:

<pre tabindex="0" class="chroma"><code>def is_valid_bst(Node(3)) -&gt; True
</code></pre>

Given the root node, verify if a binary search tree is valid or not.

Binary Tree Validation

How would you convey insights and the methods you use to a non-technical audience?

Making data-driven insights actionable for those without technical expertise

Simple Explanations

The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. It is often used in algorithm examples, and is defined by the following formula: F(n) = F(n-1) + F(n-2), with F(0) = 0 and F(1) = 1.

Your task is to implement the Fibonacci algorithm in three different methods:
1. Recursively
2. Iteratively
3. Using Memoization

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>n = 5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>n = 10
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 55
</code></pre>

The Fibonacci sequence starts as follows: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55…

This question requires the implementation of the Fibonacci sequence using three different methods: recursively, iteratively, and using memoization.

Implementing the Fibonacci Sequence in Three Different Methods

Let’s say you’re a data engineer at Fidelity Investments, and you’re running a SQL query on a cloud-based data warehouse. All cluster resources and network health metrics look normal, but the query is still taking over 10 minutes to complete.

How would you go about diagnosing and improving the performance of this query?

How would you diagnose and speed up a slow SQL query when system metrics look healthy?

Slow SQL Query

Query Optimization

Given two sorted lists, write a function to merge them into one sorted list.

Bonus: What’s the time complexity?

Example:

Input:

<pre tabindex="0" class="chroma"><code>list1 = [1,2,5]
list2 = [2,4,6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def merge_list(list1,list2) -&gt; [1,2,2,4,5,6]
</code></pre>

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort?

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort? 

Merging Lists Complexity

You are given a list of <code>[x,y]</code> coordinates in a matrix called <code>X</code>.

Write a function using gradient descent to return a tuple describing the line of best fit for the given coordinates. The first number in the tuple should be the line’s slope. The second number in the tuple should be its y-intercept.

You may not import any libraries.

Example:

Input:

<pre tabindex="0" class="chroma"><code>coordinates = [(0, 1), (1, 3), (2, 2), (3, 4), (4, 6), (5, 5), (6, 7), (7, 9), (8, 8), (9, 10), (10, 12), (11, 11), (12, 13), (13, 15), (14, 14), (15, 16), (16, 18), (17, 17), (18, 19)]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>(1, 1) 
</code></pre>

Implement gradient descent to calculate the parameters of a line of best fit

Gradient Descent Calculation

How do you detect and handle correlation between variables in linear regression? What will happen if you ignore the correlation in the regression model?

You have an array of integers, <code>nums</code> of length <code>n</code> spanning <code>0</code> to <code>n</code> with one missing. Write a function <code>missing_number</code> that returns the missing number in the array.

Note: Complexity of $O(n)$ required.

Example:

Input:

<pre tabindex="0" class="chroma"><code>nums = [0,1,2,4,5] 
missing_number(nums) -&gt; 3
</code></pre>

How would you explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician? Ensure your explanations are tailored to the understanding level of each audience.

How would you interpret coefficients of logistic regression for categorical and boolean variables?

Why is one-hot encoding recommended for categorical variables in logistic regression models?

Why is one-hot encoding recommended for categorical variables in logistic regression models?

Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics.

Return the ordered pair (precision, recall).

Example:

Input:

<pre tabindex="0" class="chroma"><code>
P = [[121, 9],
 [17, 144]]
</code></pre>

where P represents the following table

<table>
<thead>
<tr>
<th></th>
<th>Predicted =TRUE</th>
<th>Predicted =FALSE</th>
</tr>
</thead>

<tbody>
<tr>
<td>Actual =TRUE</td>
<td>121</td>
<td>9</td>
</tr>

<tr>
<td>Actual =FALSE</td>
<td>17</td>
<td>144</td>
</tr>
</tbody>
</table>
Output:

<pre tabindex="0" class="chroma"><code>def precision_recall(P) -&gt; (0.931, 0.877,)
</code></pre>

Write a function to calculate precision and recall metrics.

Precision and Recall

Coinbase Machine Learning Engineer Interview Questions

A leading cryptocurrency provider is seeking a Senior Risk Analyst to join their Payments Risk Analytics team in Phoenix. This role involves identifying and mitigating payment fraud risk, using advanced data analysis and risk management strategies. Candidates should have over 5 years of relevant experience, including fighting fraud in financial services, and possess strong SQL and data visualization skills. The company values collaboration and innovation in building a secure financial future. #J-18808-Ljbffr

<h5>Overview </h5>Ready to be pushed beyond what you think youre capable of? At Coinbase, our mission is to increase economic freedom in the world. Its a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, were seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companys hardest problems. Our work culture is intense and isnt for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, theres no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. As a Senior Risk Analyst on the Payments Risk Analytics team, youll be fully responsible for identifying and mitigating payments fraud risk on our critical payment rails without negatively impacting core metrics and the broader customer experience. This role will report to the Manager of Cards and Mobile Payments within Payments Risk Analytics, and will be based remotely in the United States. What youll be doing (ie. job duties): <ul> <li>Identify, investigate, and mitigate fraudulent purchase and deposit activity </li><li>Implement logic targeting bad actors and high-risk behavior associated with unauthorized purchasing activity across multiple regions </li><li>Measure fraud performance across payment methods and develop core metrics </li><li>Proactively identify and close gaps in our monitoring </li><li>Own risk controls from end-to-end and scale processes to provide appropriate coverage as we expand our business </li><li>Own reporting processes and communication with relevant banking partners </li><li>Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies </li><li>Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis </li><li>Synthesize data learnings into compelling stories and communicate them to Payments Risk leadership </li></ul> What we look for in you (ie. job requirements): <ul> <li>5+ years relevant experience </li><li>3+ years fighting Cards and Mobile Payments fraud in an e-commerce or financial services environment </li><li>3+ years of experience in data analysis, working with databases, and querying (e.g., SQL, MySQL, etc). </li><li>BA/BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) or equivalent practical experience. </li><li>Advanced experience using SQL </li><li>Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset). </li><li>A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and find the root cause. </li><li>Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering. </li><li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution </li></ul> Nice to haves: <ul> <li>Experience with mitigating risk from issuing credit/debit cards </li><li>Deep understanding of mobile payments </li><li>Experience leveraging AI tools such as cursor, glean, copilot </li><li>Advanced experience with Python </li></ul> Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility + benefits (including medical, dental, vision and 401(k)). Base salary range shown. Total compensation also includes equity and bonus eligibility and benefits: $135,320$159,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com #J-18808-Ljbffr

<h5>Overview </h5>Ready to be pushed beyond what you think youre capable of? At Coinbase, our mission is to increase economic freedom in the world. Its a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, were seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companys hardest problems. Our work culture is intense and isnt for everyone. If you want to build the future alongside others who excel in their disciplines and expect the same from you, theres no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. <h5>Responsibilities </h5> <ul><li>Identify, investigate and mitigate fraudulent deposit activity. </li><li>Implement logic targeting bad actors and high-risk behavior associated with unauthorized deposit activity across multiple regions. </li><li>Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis. </li><li>Synthesize data learnings into compelling stories and communicate them to Payments Risk leadership. </li><li>Review and respond to alerts regarding anomalous customer and transaction behavior. </li><li>Measure fraud performance across payment methods, develop core metrics, and create dashboards to track and understand them. </li><li>Proactively identify and close gaps in our monitoring. </li><li>Own risk controls from end-to-end and scale processes to provide appropriate coverage as we expand our business. </li><li>Own reporting processes and communication with relevant banking partners. </li><li>Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies. </li> </ul><h5>Qualifications </h5><ul><li>4+ years relevant experience </li><li>2+ years fighting push payment fraud in an e-commerce or financial services environment </li><li>2+ years of experience in data analysis, working with databases, and querying (e.g., SQL, MySQL, etc) </li><li>BA / BS degree or equivalent practical experience </li><li>Strong knowledge of pull payment processes and experience with fraud claim investigations </li><li>A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and conduct root cause analysis </li><li>Experience in data analyses using SQL and Databricks </li><li>Experience with data visualization and storytelling using Looker, Tableau, SuperSet or other business intelligence platforms </li><li>Be able to independently create plans for analytics projects and build collaboration within the team </li><li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution </li> </ul><h5>Nice to haves </h5><ul><li>Understanding of statistical concepts and experience in applying them </li><li>Experience working with quantitative tools such as Python or R </li><li>Experience working with machine learning models </li><li>An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem </li> </ul>Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility, equity eligibility, and benefits (including medical, dental, vision and 401(k)). Base salary range shown. Total compensation also includes equity and bonus eligibility and benefits: $135,320$159,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h5>Commitment to Equal Opportunity </h5>Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site, a free compatible screen reader can be downloaded. <h5>Global Data Privacy Notice for Job Candidates and Applicants </h5>Depending on your location, the GDPR and CCPA may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. <h5>AI Disclosure </h5>For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com #J-18808-Ljbffr

Ready to be pushed beyond what you think youre capable of? At Coinbase, our mission is to increase economic freedom in the world. Its a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, were seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the companys hardest problems. Our work culture is intense and isnt for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, theres no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. This is a 12-week internship during summer 2026. As a Product Manager Intern at Coinbase you'll be responsible for driving the development of innovative products that align with our mission to create an open financial system. Youll work cross-functionally with engineering, design, and business teams to define product strategies, prioritize roadmaps, and deliver impactful solutions that meet customer needs. With a strong focus on data-driven decision-making, customer insights, and emerging trends in crypto and blockchain, youll help ensure Coinbase remains at the forefront of the industry while delivering exceptional user experiences. You will have the opportunity to specify your org choice between the Product Group org or the Core Business org. Please carefully review the org descriptions below and select the one that most aligns with your interests and goals. Your application will be considered only for the org you choose. <h5>Track Options:  </h5>Core PM Intern (internship location = New York City) <ul><li>Focus: Business operations, compliance, support functions, or internal products </li><li>Key Skills: Stakeholder management, cross-functional collaboration, process/product optimization </li><li>Products you may work on: Salesforce, Snowflake, Tableau, Looker, Jira, Figma, etc </li> </ul>Product Group PM Intern (internship location = San Francisco) <ul><li>Focus: Customer-facing products and platforms </li><li>Key Skills: Product vision, user experience, technical collaboration, growth mindset </li><li>Products you may work on: Coinbase Wallet, Exchange, Base, Prime, etc </li> </ul><h5>Responsibilities (job duties for both tracks): </h5><ul><li>Define product requirements and collaborate with a cross-functional team to execute product launches </li><li>Own a key area of Coinbases business and leverage user research, market insights, and data to build a forward looking strategy and roadmap </li><li>Develop and execute a product strategy that delivers the highest impact to your team, working closely with stakeholders to set goals </li><li>Maintain a customer-centric focus by conducting user research, upholding product excellence, and analyzing user feedback and metrics to guide product innovation </li><li>Set success metrics for launches and analyze results throughout various stages to guide product development decisions </li><li>Become an expert in Coinbases strategic and competitive position in the onchain ecosystem and develop a well-rounded understanding of onchain (DeFi, NFTs,Trading, Layer 1 blockchains, DAOs) </li> </ul><h5>What we look for in you (job requirements): </h5><ul><li>Currently pursuing a bachelors degree in Business, Computer Science, Electrical Engineering, Economics, Math, Product Management, or other related disciplines </li><li>Strong analytical, communication, and problem-solving abilities. Quantitative aptitude and interest in systems-thinking and scaling processes </li><li>Passion for product management, technology, and customer-focused solutions </li><li>Entrepreneurial and adaptable in fast-paced environments </li><li>Experience with usability testing or user-centered design </li> </ul><h5>Nice to haves:  </h5><ul><li>Basic understanding of cryptocurrency, blockchain, or a strong interest in learning about the space </li><li>Previous experience in product management </li> </ul>Job #: GETR00PM26 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility+ benefits (including medical, dental, vision and 401(k)). Pay Range: $55$55 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h5>Commitment to Equal Opportunity </h5>Coinbase is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information.   For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). <h5>Global Data Privacy Notice for Job Candidates and Applicants </h5>Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.   <h5>AI Disclosure </h5>For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.   For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.  The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

Coinbase Machine Learning Engineer Interview Questions + Guide in 2025

Overview

Challenge

Coinbase Machine Learning Engineer Interview Process

Coinbase Machine Learning Engineer Interview Questions

Coinbase Machine Learning Engineer Jobs

Discussion & Interview Experiences

Discussion & Interview Experiences