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Internship Computer Vision Engineer Jobs in Washington

AI/ML Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

AI/ML Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

AI/ML Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

AI/ML Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Internship Computer Vision Engineer information

What does an Internship Computer Vision Engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an Internship Computer Vision Engineer, and why are they important?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.

What types of projects and responsibilities can I expect as an Internship Computer Vision Engineer?

As an Internship Computer Vision Engineer, you’ll typically work on tasks such as developing and testing algorithms for image and video analysis, assisting in dataset preparation and annotation, and supporting the implementation of computer vision models. You may also help evaluate model performance and collaborate closely with senior engineers or researchers to integrate solutions into real-world applications. Interns often participate in team meetings, present their findings, and receive mentorship, which provides a valuable learning environment and exposure to the latest industry tools and practices.
What are the most commonly searched types of Computer Vision Engineer jobs in Washington? The most popular types of Computer Vision Engineer jobs in Washington are:
What are popular job titles related to Internship Computer Vision Engineer jobs in Washington? For Internship Computer Vision Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Internship Computer Vision Engineer jobs in Washington look for? The top searched job categories for Internship Computer Vision Engineer jobs in Washington are:
Technical SETA SME - Computer Vision

Technical SETA SME - Computer Vision

Guidehouse

Bethesda, MD • On-site

$98K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 58 rated business consultants


Job description

Job Family:
Data Science & Analysis (ESA)
Travel Required:
Up to 10%
Clearance Required:
Active Top Secret SCI with Polygraph
What You Will Do:
The Technical SETA will provide support in the execution of the lifecycle of a research program from development, source selection, execution, closeout, and transition. The Technical SETA will be responsible for attending meetings, workshops, conferences, and testing events as the Subject Matter Expert.
  • Attend meetings, workshops, conferences and testing events as a Subject Matter Expert
    Assist with the development of presentations such as Program Management Reviews
    Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners
    Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches
    Examine data sources and literary sources for emerging technology related to the Program
    Provide technical support and expertise on new concepts beyond the Program within areas of expertise
  • Additionally, the Technical SETA may provide support to the PM with their assigned Seedlings, Studies or Challenges.

In this role, the Technical SETA will serve as the Subject Matter Expertise in developing algorithms that can automatically track and match objects-such as people, vehicles, or equipment-across video feeds coming from different, uncoordinated sensors.
What You Will Need:
  • An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph
  • Bachelor's degree in physics, mathematics, computer science, or relevant engineering field
  • FIVE (5) or more years' experience in computer vision research & development (R&D)
  • TWO (2) or more years of research & development (R&D) experience in machine learning and deep learning
  • TWO (2) experience managing a multidisciplinary research & development (R&D) or test & evaluation (T&E) team, including experience creating program plans, WBS, milestone schedules

What Would Be Nice To Have:
  • Masters or PhD in physics, mathematics, computer science, or relevant engineering fields
  • Excellent writing/editing skills
  • Excellent slide development/PowerPoint skills
  • Strong organizational, problem-solving, and time management skills
  • Ability to manage multiple concurrent tasks
  • At least FOUR (4) of the desired qualifications:
    • Experience with large spatiotemporal data architectures
    • Experience with IRB process and IRB-approved video collection
    • Experience with OpenMPF
    • Experience deploying computer vision analytics at scale
    • Experience managing large-scale video collection/annotation
    • Experience with video collection from security, airborne, and mobile sensors
    • Experience with video geo-localization
    • Video re-identification technical experience

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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