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Samsung Electronics America Interview Questions

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</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>
</tbody>
</table>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Samsung Electronics America Salaries by Position

<div><div>Position Summary Role and Responsibilities Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on the most challenging projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. At Samsung Ads, we are actively distilling the maximum value out of data to drive business growth and solve complex problems. We are exploring the latest data mining and machine learning techniques to form a data-driven culture for decision making and product design. As a data scientist of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to address existing product challenges, uncover new revenue/profit opportunities, and build end-to-end solutions with real-world impact. You will work closely with different teams to develop insights and deliver end-to-end production solutions to drive business and technical initiatives effectively. You will also work with talented engineers and top-notch machine learning researchers on exciting projects and state-of-the-art technologies. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing with a growing team. Responsibilities Skills and Qualifications <ul><li>Lead a data science team to provide data-driven insights and deliver production-grade solutions to maximize the value of our data.</li><li>Innovatively examine the business health of and identify product bottlenecks in the entire Samsung Ads ecosystem to unveil new business opportunities, help strategic decision making, and suggest technical solutions.</li><li>Propose and deliver data science projects into production from end to end to drive business growth</li><li>Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. to solve challenging problems promptly.</li><li>Closely work with the machine learning team to define and improve machine learning products.</li><li>Provide data science support to various stakeholders, for example, designing experiments and evaluation metrics for different products.</li><li>Effectively communicate with and present to various audiences, such as the leadership team, engineering stakeholders, and product owners.</li><li>Promote a data-driven culture within the company by coaching different stakeholders. </li></ul>Experience Requirements: <ul><li>Master’s or PhD degree in science or engineering fields. 4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree</li><li>Solid theoretical background in data analytics, data mining, machine learning, and statistics</li><li>Outstanding problem-solving skills and creative thinking to address open challenges in various fields</li><li>Proficiency in SQL and databases</li><li>Strong programming skills in Python, Go, or other OOP languages</li><li>Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)</li><li>Excellent communication and interpersonal skills </li></ul>Preferred Experience Requirements: <ul><li>Hands-on experience with production-grade machine learning solutions and/or software development</li><li>Experience with the advertising industry and real-time bidding (RTB) ecosystem </li></ul>The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. <ul><li>Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. </li></ul>At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. <ul><li>Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. </li></ul>Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. </div></div>
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<div><div>Position Summary Role and Responsibilities Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means working on the most challenging projects with stakeholders and teams around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. At Samsung Ads, the Platform Intelligence (PI) team is actively delving into the forefront of deep learning and generative AI techniques, aiming to elevate our current systems/products while charting new revenue paths. Our mission is to represent Samsung's leadership in large-scale machine learning / GenAI products by collaborating with the best and brightest engineers and creating a collaborative environment between industry and academia. As a Machine Learning Research Engineer, you can access unique Samsung proprietary data to develop and deploy a broad spectrum of large-scale machine learning products with real-world impact. You will build Generative AI applications for the Advertising domain to enhance user experiences and create new business opportunities. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge GenAI products with a fast-growing team. Responsibilities <ul><li>Build next-generation generative AI-based products to open new business opportunities and transform user experience.</li><li>Explore and share cutting-edge machine learning technologies for our business use cases.</li><li>Design and develop advanced deep learning models to improve existing products</li><li>Create quick prototypes and proof-of-concepts for machine learning product features.</li><li>Closely work with the machine learning engineering team to deploy new models in production to generate real-world impact.</li><li>Closely work with university collaborators and external partners to advance our machine learning capabilities.</li><li>Publish research results in top venues and file patents. </li></ul>Skills And Qualifications Requirements <ul><li>Master’s or PhD degree in Computer Science or related fields</li><li>Rich hands-on experience in state-of-the-art large language models (LLMs) and/or diffusion models</li><li>Solid theoretical background in machine/deep learning and/or LLMs</li><li>Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)</li><li>Extensive programming experience in Python, Go, or other OOP languages</li><li>Familiarity with data structures, algorithms, and software engineering principles</li><li>Strong communication and interpersonal skills to drive cross-functional partnerships</li><li>Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.) </li></ul>Preferred Experience Requirements: <ul><li>Basic knowledge about Amazon Web Services (AWS)</li><li>Experience with machine learning productization</li><li>Experience with the advertising industry and real-time bidding (RTB) ecosystem</li><li>5+ years of industry experience with a Master’s degree or 3+ years of industry experience with a PhD degree </li></ul>The salary range for this role, for candidates based in California, is expected to be between $230K ~ $280K. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. #LT-JT1 <ul><li>Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. </li></ul>At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. <ul><li>Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. </li></ul>Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.</div></div>
#J-18808-Ljbffr

<div>Position Summary Role and Responsibilities Samsung Ads is an advanced advertising technology company that is rapidly growing and focuses on enabling advertisers to connect with audiences from Samsung devices as they are exposed to digital media. It uses the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a fast-growing team. Responsibilities <ul><li>Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.</li><li>Build a world-class ML platform tailored for Samsung’s ML-based advertising business, which can significantly improve the lead time for the model's end-to-end development and deployment process.</li><li>Research the industry's latest machine learning platform technologies and create quick prototypes / proof-of-concepts.</li><li>We will work closely with internal ML teams (e.g., ML serving and MLOps teams) to improve the health of our codebase product and ensure the highest engineering quality.</li><li>Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.</li><li>Mentor junior engineers and provide technical guidance.</li><li>Learn quickly and adapt to a fast-paced working environment. </li></ul>Skills And Qualifications Experience Requirements <ul><li>6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.</li><li>Having extensive industry experience with Infrastructure such as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using GitHub Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.</li><li>Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.).</li><li>Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store).</li><li>Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.</li><li>Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms, and software engineering principles.</li><li>Strong communication and interpersonal skills to drive cross-functional partnerships.</li><li>Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions, and apply the changes to production. </li></ul>Preferred Experience Requirements <ul><li>Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.</li><li>Knowledge about Amazon Web Services (AWS).</li><li>Experience with the advertising industry and real-time bidding (RTB) ecosystem </li></ul>The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. <ul><li>Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. </li></ul>At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. <ul><li>Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. </li></ul>Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries. </div>
#J-18808-Ljbffr

<div>Position SummaryRole and ResponsibilitiesSamsung Ads is an advanced advertising technology company that is rapidly growing and focuses on enabling advertisers to connect with audiences from Samsung devices as they are exposed to digital media. It uses the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on big, complex projects with stakeholders and teams around the globe.We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine-learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a fast-growing team.Responsibilities<ul><li>Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.</li><li>Build a world-class ML platform tailored for Samsung’s ML-based advertising business, which can significantly improve the lead time for the model's end-to-end development and deployment process.</li><li>Research the industry's latest machine learning platform technologies and create quick prototypes / proof-of-concepts.</li><li>We will work closely with internal ML teams (e.g., ML serving and MLOps teams) to improve the health of our codebase product and ensure the highest engineering quality.</li><li>Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.</li><li>Mentor junior engineers and provide technical guidance.</li><li>Learn quickly and adapt to a fast-paced working environment.</li></ul>Skills And Qualifications<ul><li>6+ years of industry experience with a Master's degree or 3+ years of industry experience with a PhD degree.</li><li>Having extensive industry experience with Infrastructure such as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using GitHub Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.</li><li>Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.).</li><li>Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store).</li><li>Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.</li><li>Extensive programming experience in Python, Go or other OOP languages, SQL and database, and familiarity with data structures, algorithms, and software engineering principles.</li><li>Strong communication and interpersonal skills to drive cross-functional partnerships.</li><li>Ability to work in a fast-paced environment, quickly debug issues, provide proof-of-concept solutions, and apply the changes to production.</li></ul>Preferred Experience Requirements<ul><li>Extensive experience with Snowflake, Snowpark, and Redis/Aerospike.</li><li>Knowledge about Amazon Web Services (AWS).</li><li>Experience with the advertising industry and real-time bidding (RTB) ecosystem</li></ul>The salary range for this role, for candidates based in California, is expected to be between $230,000 and $270,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.</div>
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Samsung Electronics America Interview Questions

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Samsung Electronics America Interview Questions

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