Prepare for and practice interview questions from Hive.

Hive Interview Questions

at hive we are specialized in it recruitment services &amp; it hr consulting. 
we find ultimate it talents and provide a high-end service for our clients all over the world. 
our team is a dedicated, highly skilled group of professionals who are
involved in technical recruitment. we use custom search engines, api scripts, dig into professional groups and forums and build a referral system to find exactly the person you need.
we conduct deep technical interviews, provide fast and convenient communication channels for each client. we care about your brand and projects and introduce them as detailed as possible. we can speak same language with engineers and managers. we will find both culturally and technically fitting candidates.
feel free to contact us: team@hive-it.group or eu@hive-it.group
we will be happy to cooperate with you.

at hive we are specialized in it recruitment services & it hr consulting. 
we find ultimate it talents and provide a high-end service for our clients all over the world. 

our team is a dedicated, highly skilled group of professionals who are
involved in technical recruitment. we use custom search engines, api scripts, dig into professional groups and forums and build a referral system to find exactly the person you need.

we conduct deep technical interviews, provide fast and convenient communication channels for each client. we care about your brand and projects and introduce them as detailed as possible. we can speak same language with engineers and managers. we will find both culturally and technically fitting candidates.

feel free to contact us: team@hive-it.group or eu@hive-it.group
we will be happy to cooperate with you.

Overview

Hive Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

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

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?

Hive Salaries by Position

Position Overview:The Senior Business Analyst plans and provides analytical support for facilitation, training, methodology development and evaluation, business management techniques, and organizational development. Key responsibility includes: Providing recommendations, contributing and preparing briefings for business, management, technology, operational processes and procedures. These functions include business process analysis to describe and create defined business and operations controls and processes. This role is contingent upon task order award. Roles and Responsibilities:The Specialist will provide Support for SIDA (Security Information Display Area) Rulemaking. The Specialist will need strong writing skills, and background in regulatory writing and policy coordination.Assist the government with maintaining, updating program/project management methodologies, best practices, policies, processes, procedures, tools, and templates used for program/project initiation, planning, execution, tracking/monitoring/controlling, and closeout activities.Assist the government with maintaining and updating business processes, SOPs, briefing packages and other related documentation (as required by DHS and TSA directives, regulations, etc.)..Assisting in the definition of project scope and goals.Conducting or facilitating meetings and presentations to share ideas and findings.Conduct formal and informal reviews at pre-determined points throughout the deliveryMinimum Requirements:7+ years demonstrated knowledge and experience in in general program/project management andor Specialist contributor support.At least 4+ years in consulting or government contracting environmentBachelors Degree in business or a related field is requiredPrior work experience within DHS and/or TSA is highly desirableCertification in Program/Project Management (e.g., Project Management Institute (PMI) Project Management Professional (PMP), and/or Federal Acquisition Certification for Program and Project Managers (FACP/PM) Level II and above) is preferredExcellent communication, interpersonal and organizational skillsFamiliarity with Federal Register or Ability to draft notices for Federal Register publicationInnovative; thinks outside of box in delivering solutions to customerStrong decision making and problem-solving and writing skillsMust be able to obtain and hold a TSA Public Trust ClearanceMust be able to work onsite at the TSA HQ in Springfield, VA as requested

Position Overview: The Product Manager applies process improvement and re-engineering methodologies and principles to conduct process modernization projects. Key responsibilities include: Providing activity and data modeling, developing modern business methods, identifying best practices, creating and assessing performance measurements, and providing group facilitation, interviewing, and training. This role is contingent upon task order award. Roles and Responsibilities: <ul><li>Lead an airline passenger pre-screening program for the Transportation Security Administration (TSA) </li><li>Provide the expertise and understanding of complex vetting functionality, UI specifications, and reporting / data analytics within the Strategic Planning and Business Process Analysis/ Re-Engineering </li><li>Collaborate with the TSA functional team leads to develop new business requirements and technical architects to examine functional requirements in order to solution and design products that fit stakeholders' needs </li><li>Understanding the data through analysis, guiding the stakeholder in developing requirement and acceptance criteria, and moving the designed product through the SAFe Agile process. </li><li>Provide deliverables for Business process analyses/re-engineering and business process mapping documentation and other related artifacts </li><li>Deliverables will include responsibility for Business process SOPs, Business requirements gathering and other related documentation, Business process studies, white papers, position papers, presentation packages, reports, and other related analytical products </li><li>Manage preparation for specific SAFe (Agile) events/ceremonies and their artifacts </li><li>As a Technical Team Lead you will be the Subject Matter Expert for the applications around the products you are managing </li><li>Provide the expertise and understanding of complex vetting functionality, UI specifications, and reporting / data analytics </li><li>Conduct preliminary evaluation of enterprise-wide initiatives and interdependencies (current state) </li><li>Convert strategy and priorities into tangible business requirements, prototypes, and design concepts </li><li>Provide the expertise and understanding of complex vetting functionality, UI specifications, and reporting / data analytics </li></ul> Minimum Requirements: <ul><li>Convert strategy and priorities into tangible business requirements, prototypes, and design concepts </li><li>Provide the expertise and understanding of complex vetting functionality, UI specifications, and reporting / data analytics </li><li>Develop the business case for new products and improvements to existing products </li><li>Experience building use cases and technically-focused specifications, data flow diagrams, etc. </li><li>Focus on technical elements, including mapping and integrating with multiple systems </li><li>Lead product requirement and vision discussions with customers and team </li><li>Review, analyze and prioritize voice of the customer feedback to incorporate user stories </li><li>Translate feature ideas into actionable product requirements, clarify acceptance criteria, and provide the detail needed for architect, product owner, and scrum teams to estimate and execute on planned work </li><li>8+ years demonstrated knowledge and experience as a Product Manager with its associated applications, solutions and project management </li><li>Must have Bachelor's degree in Business, IT, Science or related field </li><li>Prior work experience within DHS and/or TSA preferred </li><li>Experience working in a government contracting environment </li><li>Minimum to start: Public Trust Clearance. </li><li>Existing Top Secret clearance is a plus, or Ability to obtain Top Secret Clearance </li><li>Must be able to work onsite at the TSA HQ in Springfield, VA as requested </li> </ul>

<h3>Job Description</h3><div>Job Description<div>Position Overview: The Senior Business Analyst plans and provides analytical support for facilitation, training, methodology development and evaluation, business management techniques, and organizational development. Key responsibility includes: Providing recommendations, contributing and preparing briefings for business, management, technology, operational processes and procedures. These functions include business process analysis to describe and create defined business and operations controls and processes. This role is contingent upon task order award.  Roles and Responsibilities:<ul><li>The Specialist will provide Support for SIDA (Security Information Display Area) Rulemaking. The Specialist will need strong writing skills, and background in regulatory writing and policy coordination.</li><li>Assist the government with maintaining, updating program/project management methodologies, best practices, policies, processes, procedures, tools, and templates used for program/project initiation, planning, execution, tracking/monitoring/controlling, and closeout activities.</li><li>Assist the government with maintaining and updating business processes, SOPs, briefing packages and other related documentation (as required by DHS and TSA directives, regulations, etc.)..</li><li>Assisting in the definition of project scope and goals.</li><li>Conducting or facilitating meetings and presentations to share ideas and findings.</li><li>Conduct formal and informal reviews at pre-determined points throughout the delivery</li></ul>Minimum Requirements:<ul><li>7+ years demonstrated knowledge and experience in in general program/project management and\or Specialist contributor support.</li><li>At least 4+ years in consulting or government contracting environment</li><li>Bachelors Degree in business or a related field is required</li><li>Prior work experience within DHS and/or TSA is highly desirable</li><li>Certification in Program/Project Management (e.g., Project Management Institute (PMI) Project Management Professional (PMP), and/or Federal Acquisition Certification for Program and Project Managers (FACP/PM) Level II and above) is preferred</li><li>Excellent communication, interpersonal and organizational skills</li><li>Familiarity with Federal Register or Ability to draft notices for Federal Register publication</li><li>Innovative; thinks outside of box in delivering solutions to customer</li><li>Strong decision making and problem-solving and writing skills</li><li>Must be able to obtain and hold a TSA Public Trust Clearance</li><li>Must be able to work onsite at the TSA HQ in Springfield, VA as requested</li></ul>Powered by JazzHRJNmAGqEYSa</div></div>

<h3>Job Description</h3><div>Job Description<div>IT Business Analyst (in Kansas City, MO, onsite/hybrid)This position works within a larger Project Team focusing on replacing and enhancing business-critical systems and primary business processes. This position collaborates heavily with business stakeholders, IT teams, and technology partners to understand and document, validate, test, and train on business process transformation mapping as well as functional requirements in support of custom software development for a global company.NO C2C at this time</div></div>

<div>About HiveHive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!Staff Machine Learning EngineerIn order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.Responsibilities<ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Minimum Requirements<ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.</div>
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<div>About HiveHive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!Machine Learning RoleIn order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.<h3>Responsibilities</h3><ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed.</li><li>Interface closely with the Backend and DevOps teams as well as with our internal data labeling services.</li><li>Utilize OWASP top 10 techniques to secure code from vulnerabilities.</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role.</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets.</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority.</li></ul><h3>Requirements</h3><ul><li>You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics.</li><li>You have 1-2 years industry machine learning experience.</li><li>You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project.</li><li>You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others.</li><li>You know the ins and outs of Python, especially as it applies to the above ML frameworks.</li><li>You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files.</li><li>You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker.</li><li>You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice.</li><li>You have great communication skills and ability to work with others.</li><li>You are a strong team player, with a do-whatever-it-takes attitude.</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.</div>
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<div>About HiveHive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!Staff Machine Learning EngineerIn order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.Responsibilities<ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul>Minimum Requirements<ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul>Who We AreWe are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.Thank you for your interest in Hive and we hope to meet you soon!The current expected base salary for this position ranges from $200,000 - $300,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.</div>
#J-18808-Ljbffr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines. Responsibilities <ul><li>Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed.</li> <li>Interface closely with the Backend and DevOps teams as well as with our internal data labeling services.</li> <li>Utilize OWASP top 10 techniques to secure code from vulnerabilities.</li> <li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role.</li> <li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets.</li> <li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority.</li></ul> Requirements <ul><li>You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics.</li> <li>You have 1-2 years industry machine learning experience.</li> <li>You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project.</li> <li>You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others.</li> <li>You know the ins and outs of Python, especially as it applies to the above ML frameworks.</li> <li>You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files.</li> <li>You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker.</li> <li>You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice.</li> <li>You have great communication skills and ability to work with others.</li> <li>You are a strong team player, with a do-whatever-it-takes attitude.</li></ul> Who We Are We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company. Thank you for your interest in Hive and we hope to meet you soon! The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
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Hive Interview Questions

Overview

Hive Interview Guides

Hive Interview Questions

Hive Salaries by Position

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