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Summer Intern and Research Assistant - Machine Vision

In Pennsylvania United States

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Summer Intern and Research Assistant - Machine Vision   

JOB TITLE:

Summer Intern and Research Assistant - Machine Vision

JOB TYPE:

Full-time

JOB LOCATION:

Reedsville Pennsylvania United States

JOB DESCRIPTION:

The Opportunity:


Summer Intern & Research Assistant with a Central PA Startup (Pennsylvania Residents Only).
This position is contingent upon contract award, with work expected to begin in May 2024 and to end in approximately September 2024.


This is a paid, 40-hour week position in Reedsville, PA, a 30-minute drive from University Park, home of the Pennsylvania State University.
This isNOT a remote work opportunity.
The Summer Intern and Research Assistant is expected to fully engage in daily on-site work and collaboration with the team located in Reedsville.


USD Pay Range:$25.
00-$35.
00/hour, commensurate with competencies, skills, knowledge, education, and experience.


  • This internship is designed to be a quality learning experience for the best, brightest, and most ambitious undergraduate (junior/senior) and graduate students in our area, whose academic pursuits include working toward a B.
    S.
    (or higher) degree in Engineering, Data Science, Mathematics, or other related fields.
  • This internship is offered in a start-up, entrepreneurial setting that offers unique opportunities to integrate, expand, refine, and synthesize knowledge from diverse disciplines, courses, and areas of experience.
    It provides opportunities to apply higher-order thinking skills (critical thinking, observation, recording, analysis, interpretation, evaluation, complex problem solving, etc.
    ) to real world work situations while acquiring and refining leadership, teamwork, and personal accountability skills.


If you are.
.
.


  • Interested in researchingnew AI/ML architectures and approaches,
  • Looking to help build systems that detect and stop terrorist attacks, AND
  • A self-starter, comfortable working in a small team/tech startup setting.
    .
    .


Keep reading.
.
.
because the work we do will challenge your expectations, your skills, and your abilities every day!

Who We Are:


Cignal is a growing tech startup and the creator of the Cignal Engine: an environment to safely test and exercise AI vision models before deploying them in the real world.
Cignal Engine combines simulation, AI/ML, and other mathematical techniques to create high-fidelity synthetic image streams that are virtually indistinguishable from real data.


The Cignal Engine is used to test how well transportation security AI/ML models detect firearms, explosives, narcotics, and other dangerous items on people and in baggage and cargo.


What You'll Do:


You'll study existing and novel techniques for performing image analysis, and you'll examine if AI/ML may be applied to improve the efficiency or performance of these techniques.
You will personally behelping to make air travel safer whilehaving a substantial impact on introducing a game-changing, cutting-edge product! Duties and responsibilities include:


  • Researchingdifferent computational and numerical methods in the field of machine vision
  • Reading and summarizing research reports and papers
  • Working with engineers to implement prototype demonstrations of thetechniques you've researched
  • Preparing presentations and technical reports that detail your work and findings


What We're Looking For:


  • Technical writing ability
  • Ability to analyze and interpret data, algorithms, and numerical methods
  • Interest in AI/ML and neural networks
  • Strong math proficiency
  • Background in mathematics, computer science, or a related discipline


Nice to Have:


  • Software development/scripting experience
  • Experience with modeling and computation
  • Experience with computer vision
  • LaTeX experience


HOW TO APPLY:


Check us out atwww.
cignal.
co, and get inon the ground floor of a high-potential startup protecting lives and changing how machines learn to see.
If you're intrigued by what you learn about our company, people, and products, we look forward to receiving your application.


Thank you for taking the time to explore career opportunities with Cignal.
Make sure to upload your resume, complete the questionnaire, and click submit its that easy to apply right now!


Applicants must be currently authorized to work in the United States on a full-time basis.
This company does not sponsor applicants for work visas at this time.


Cignal is proud to be an equal-opportunity employer.
Employment with our company is based solely on a person's merit and qualifications directly related to professional competence.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, pregnancy, or related condition (including breastfeeding), sexual orientation, national origin, genetics, disability, age, or veteran status, or any other or any other basis protected by law.


Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.
If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to
careers@cignal.
co
and let us know your request's nature and contact information.


Cignal reserves the right to alter, change, modify, and/or terminate this job posting without notice, or obligation.
No recruiters, please; principal applicants only.

Position Details

POSTED:

EMPLOYMENT:

Full-time

SALARY:

35 per year

SNAPRECRUIT ID:

S-1707365303-b3337f8fcd2e9af0d0c121641806a0d0

LOCATION:

Pennsylvania United States

CITY:

Reedsville

Job Origin:

jpick2

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Summer Intern and Research Assistant - Machine Vision    Apply

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The Opportunity:


Summer Intern & Research Assistant with a Central PA Startup (Pennsylvania Residents Only). This position is contingent upon contract award, with work expected to begin in May 2024 and to end in approximately September 2024.


This is a paid, 40-hour week position in Reedsville, PA, a 30-minute drive from University Park, home of the Pennsylvania State University. This isNOT a remote work opportunity. The Summer Intern and Research Assistant is expected to fully engage in daily on-site work and collaboration with the team located in Reedsville.


USD Pay Range:$25.00-$35.00/hour, commensurate with competencies, skills, knowledge, education, and experience.


  • This internship is designed to be a quality learning experience for the best, brightest, and most ambitious undergraduate (junior/senior) and graduate students in our area, whose academic pursuits include working toward a B.S. (or higher) degree in Engineering, Data Science, Mathematics, or other related fields.
  • This internship is offered in a start-up, entrepreneurial setting that offers unique opportunities to integrate, expand, refine, and synthesize knowledge from diverse disciplines, courses, and areas of experience. It provides opportunities to apply higher-order thinking skills (critical thinking, observation, recording, analysis, interpretation, evaluation, complex problem solving, etc.) to real world work situations while acquiring and refining leadership, teamwork, and personal accountability skills.


If you are...


  • Interested in researchingnew AI/ML architectures and approaches,
  • Looking to help build systems that detect and stop terrorist attacks, AND
  • A self-starter, comfortable working in a small team/tech startup setting...


Keep reading...because the work we do will challenge your expectations, your skills, and your abilities every day!

Who We Are:


Cignal is a growing tech startup and the creator of the Cignal Engine: an environment to safely test and exercise AI vision models before deploying them in the real world.Cignal Engine combines simulation, AI/ML, and other mathematical techniques to create high-fidelity synthetic image streams that are virtually indistinguishable from real data.


The Cignal Engine is used to test how well transportation security AI/ML models detect firearms, explosives, narcotics, and other dangerous items on people and in baggage and cargo.


What You'll Do:


You'll study existing and novel techniques for performing image analysis, and you'll examine if AI/ML may be applied to improve the efficiency or performance of these techniques. You will personally behelping to make air travel safer whilehaving a substantial impact on introducing a game-changing, cutting-edge product! Duties and responsibilities include:


  • Researchingdifferent computational and numerical methods in the field of machine vision
  • Reading and summarizing research reports and papers
  • Working with engineers to implement prototype demonstrations of thetechniques you've researched
  • Preparing presentations and technical reports that detail your work and findings


What We're Looking For:


  • Technical writing ability
  • Ability to analyze and interpret data, algorithms, and numerical methods
  • Interest in AI/ML and neural networks
  • Strong math proficiency
  • Background in mathematics, computer science, or a related discipline


Nice to Have:


  • Software development/scripting experience
  • Experience with modeling and computation
  • Experience with computer vision
  • LaTeX experience


HOW TO APPLY:


Check us out atwww.cignal.co, and get inon the ground floor of a high-potential startup protecting lives and changing how machines learn to see.If you're intrigued by what you learn about our company, people, and products, we look forward to receiving your application.


Thank you for taking the time to explore career opportunities with Cignal. Make sure to upload your resume, complete the questionnaire, and click submit its that easy to apply right now!


Applicants must be currently authorized to work in the United States on a full-time basis. This company does not sponsor applicants for work visas at this time.


Cignal is proud to be an equal-opportunity employer. Employment with our company is based solely on a person's merit and qualifications directly related to professional competence. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, pregnancy, or related condition (including breastfeeding), sexual orientation, national origin, genetics, disability, age, or veteran status, or any other or any other basis protected by law.


Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to careers@cignal.coand let us know your request's nature and contact information.


Cignal reserves the right to alter, change, modify, and/or terminate this job posting without notice, or obligation. No recruiters, please; principal applicants only.


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