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Cognex Corporation Interview Questions

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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

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

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?

Cognex Corporation Salaries by Position

Job DescriptionThe Cognex Business Applications team provides business process, platform, and technology expertise to support our global systems, both back office and front office tools, by designing / improving business processes, managing complex implementation projects, providing user support, training, and keeping the business application landscape up and running 24/7. In addition, the Business Applications team helps optimize the use of all business applications in a cost-effective manner to support and enhance Cognex’s overall success. The Role:The Principal Business Analyst, SAP GTS/LE will be a core member of the Cognex Business Applications Team within IT, working closely with the business organization to drive continuous improvement by developing timely and innovative solutions. This role will work closely with the global trade and shipping business teams to understand business problems, issues, and priorities and will provide support for current processing, new functional enhancements and global project implementations. The successful candidate will have experience implementing, supporting, and enhancing solutions on the SAP platform within SAP Global Trade Services and SAP S/4 Logistics Execution. Experience with SHipERP for small parcel shipping with carrier integration is a plus. Collaboration with other SAP functional and development teams to design, develop, test, and implement appropriate configuration within SAP GTS and SAP S/4 LE is essential. Responsibilities:The Principal Business Analyst, SAP GTS and Logistics Execution is responsible for production support of the India (Noida) Distribution Center and working with the global IT team for software-specific design and realization, as well as testing, deployment and support in the SAP GTS and S/4 LE module areas. This includes designing end to end process solutions, writing RICEF documents, working with developers, configuring SAP GTS and S/4 LE functionality as needed, unit testing, working with business users for user acceptance testing, performing cutover tasks, identifying master data and ongoing process impacts, and supporting ShipERP shipping functionality within SAP. Identifying integration points and working with other SAP Functional and Technical team members to ensure solution success is a critical responsibility. Key Experience Requirements:<ul><li>10+ years functional experience with SAP GTS and S/4 Logistics Execution module, configuring solutions in SAP to meet business requirements.</li><li>An understanding of global trade practices, customs processing and import/export regulations is beneficial.</li><li>Experience with the ShipERP add-in for S/4 is preferred.</li><li>Experience with SAP integration with carriers for shipment tracking is preferred.</li><li>Functional experience with integration with Sales and Distribution (SD), Materials Management (MM) and Financial Accounting (FI)</li><li>Experience in a full cycle global SAP implementation or SAP system upgrade following a waterfall or agile methodology.</li><li>Experience in understanding and gathering Business rules, Business requirements and end user cases.</li><li>The candidate must be able to design processes and sub-processes and to think through the implications of those designs, taking integration with Sales and Distribution (SD), Materials Management (MM) and Financial Accounting (FI) into account. Also, must be able to provide cross functional flow diagrams depicting the integrated process.</li><li>Create functional requirements within a RICEF (Reports Interfaces Conversion Enhancement and Form) document and work collaboratively with a developer to deliver an effective solution.</li><li>Must be detail oriented, self-directed and have strong independent problem-solving skills.</li><li>Proven ability to work independently and collaborate closely with others to accomplish business objectives in a fast-paced environment.</li><li>Time management skills are a must; as well as the ability to be flexible and creative.</li><li>Ability to prioritize and manage user requests through a ticket system is required.</li><li>Strong oral and written communication skills.</li><li>Bachelor’s degree required.</li></ul>

Job Description This job is located in our corporate headquarters in Natick, MA on a hybrid schedule! About Us: Cognex is the largest, most successful and recognized global player in industrial machine vision! We are a financially strong, international company with no debt and have been in business for over 40 years. Using advanced optics, image sensors and artificial intelligence software Cognex vision and ID systems capture an image then analyze it to make sense of what's being seen. We are deeply committed to fostering an inclusive and equitable work environment, guided by our "Work Hard, Play Hard, Move Fast" culture, which celebrates employee innovation, determination, and dedication in a dynamic, fun, and distinctive atmosphere. We are working on a hybrid schedule, 3 days in the office, 2 at home. The Team: Deep Learning R&D - Advanced Vision Technology This position is for a Scientist in the AI R&D group in the Advanced Vision Technology organization. As a Scientist on this team, you will be responsible for researching, designing, implementing and deploying state-of-the-art deep learning algorithms for industrial machine vision applications, with a mission to innovate on behalf of customers and make this technology accessible to a broad range of users and platforms. You will apply the latest trends in computer vision and natural language processing algorithms, including transformers and generative AI, to solve real world problems in the manufacturing industry such as defect inspection, barcode decoding, robotic guidance, image generation, etc. In this role, you will work alongside machine vision experts in software and hardware engineering, product, sales and marketing working on a range of problems across different industries, including consumer goods, aerospace, automotive, logistics pharmaceuticals, robotics, and electronics. Your research will typically span questions like: <ul><li>What are the best neural network architectures to solve real world vision problems in industrial manufacturing?</li><li>How can we make neural networks run faster on low-powered devices?</li><li>How can we adapt neural networks to new tasks and products quickly in low data settings?</li><li>How can we adopt the latest trends in the fields of speech and natural language processing and apply them to computer vision problems?</li><li>How can we combine traditional computer vision algorithms with deep learning technology, to solve a wider range of problems?</li><li>How do we productize advanced technology while making it easy for non-data-scientists to deploy on their production lines?</li></ul> Within the team, development is primarily done in Python. Engineers in this group typically have experience with deep learning, image analysis, machine vision, statistical learning, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex. The Role: This group is seeking scientists with a passion for innovation to lead deep learning research and development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team. Essential Functions: <ul><li>Research, develop and evaluate modern deep learning algorithms for computer vision, with a focus on algorithms with low power, low latency and data efficiency requirements</li><li>Translate business requirements into quick working prototypes in order to demonstrate capabilities to internal and external stakeholders</li><li>Collaborate closely with software and hardware engineering teams as well as product teams to transition prototypes to scalable and user-friendly implementations in Cognex products</li><li>Keep abreast of the latest research in industry and academia and propose algorithmic advancements applicable to Cognex products</li></ul> Knowledge, Skills, and Abilities: <ul><li>Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition</li><li>Deep understanding of convolutional neural networks and transformer architectures</li><li>Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.</li><li>Strong programming skills, professional programming experience desirable</li><li>Creative, motivated, and looking to work hard for an aggressive growth company</li><li>Demonstrated experience in incubating and productizing new technology from ideation to scalable implementation</li></ul> Minimum education and work experience required: <ul><li>PhD in deep learning from a top engineering school in CS, EE or equivalent</li></ul> or <ul><li>Master in deep learning from a top engineering school in CS, EE or equivalent</li><li>4+ years industrial work experience in deep learning or data science</li></ul> Additional Job Description Equal Employment Opportunity Cognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Job Description This role is based in our corporate Headquarters in Natick, MA or our Cupertino, CA office on a hybrid schedule! About Us: Cognex is the largest, most successful and recognized global player in industrial machine vision! We are a financially strong, international company with no debt and have been in business for over 40 years. Using advanced optics, image sensors and artificial intelligence software Cognex vision and ID systems capture an image then analyze it to make sense of what's being seen. We are deeply committed to fostering an inclusive and equitable work environment, guided by our "Work Hard, Play Hard, Move Fast" culture, which celebrates employee innovation, determination, and dedication in a dynamic, fun, and distinctive atmosphere. We are working on a hybrid schedule, 3 days in the office, 2 at home. The Team: Deep Learning R&D - Advanced Vision Technology This position is for a Scientist in the AI R&D group in the Advanced Vision Technology organization. As a Scientist on this team, you will be responsible for researching, designing, implementing and deploying state-of-the-art deep learning algorithms for industrial machine vision applications, with a mission to innovate on behalf of customers and make this technology accessible to a broad range of users and platforms. You will apply the latest trends in computer vision and natural language processing algorithms, including transformers and generative AI, to solve real world problems in the manufacturing industry such as defect inspection, barcode decoding, robotic guidance, image generation, etc. In this role, you will work alongside machine vision experts in software and hardware engineering, product, sales and marketing working on a range of problems across different industries, including consumer goods, aerospace, automotive, logistics pharmaceuticals, robotics, and electronics. Your research will typically span questions like: <ul><li>What are the best neural network architectures to solve real world vision problems in industrial manufacturing?</li><li>How can we make neural networks run faster on low-powered devices?</li><li>How can we adapt neural networks to new tasks and products quickly in low data settings?</li><li>How can we adopt the latest trends in the fields of speech and natural language processing and apply them to computer vision problems?</li><li>How can we combine traditional computer vision algorithms with deep learning technology, to solve a wider range of problems?</li><li>How do we productize advanced technology while making it easy for non-data-scientists to deploy on their production lines?</li></ul> Within the team, development is primarily done in Python. Engineers in this group typically have experience with deep learning, image analysis, machine vision, statistical learning, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex. The Role: This group is seeking scientists with a passion for innovation to lead deep learning research and development in industrial machine vision as well as those who have the aptitude and interest to work with an exceptional development team. Essential Functions: <ul><li>Research, develop and evaluate modern deep learning algorithms for computer vision, with a focus on algorithms with low power, low latency and data efficiency requirements</li><li>Translate business requirements into quick working prototypes in order to demonstrate capabilities to internal and external stakeholders</li><li>Collaborate closely with software and hardware engineering teams as well as product teams to transition prototypes to scalable and user-friendly implementations in Cognex products</li><li>Keep abreast of the latest research in industry and academia and propose algorithmic advancements applicable to Cognex products</li><li>Demonstrate thought leadership and drive complex research projects with a high degree of ambiguity</li><li>Mentor junior engineers of the team</li></ul> Knowledge, Skills, and Abilities: <ul><li>Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition</li><li>Deep understanding of convolutional neural networks and transformer architectures</li><li>Proficiency with at least one deep learning framework such as PyTorch or TensorFlow</li><li>Strong programming skills</li><li>Creative, motivated, and looking to work hard for an aggressive growth company</li><li>Demonstrated experience in incubating and productizing new technology from ideation to scalable implementation</li></ul> Minimum education and work experience required: <ul><li>PhD in deep learning from a top engineering school in CS, EE or equivalent</li><li>3+ years industrial work experience in deep learning or data science</li></ul> Additional Job Description Equal Employment Opportunity Cognex is an equal opportunity employer. Cognex evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Cognex Corporation Interview Questions

Cognex Corporation Interview Guides

Cognex Corporation Interview Questions

Cognex Corporation Salaries by Position

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