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Weekend Machine Vision Engineer Jobs in Virginia

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... Experience with natural language processing (NLP) and computer vision. * Familiarity with big data ...

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... Support development of computer vision and machine learning (ML) algorithms capable of object ...

... vision (image recognition, object detection, image generation), machine translation, language ... A blend of data engineering, machine learning, and product innovation skills that let you jump into ...

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building ... Experience or demonstrated interest in Vision ML, with familiarity in common vision models and ...

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... S. citizenship Preferred Qualifications • Distributed training • Computer vision • LLMs or ...

We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building ... Experience or demonstrated interest in Vision ML, with familiarity in common vision models and ...

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Experience with deep learning, computer vision, or generative AI * Experience with data handling ...

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Weekend Machine Vision Engineer information

What is the difference between Weekend Machine Vision Engineer vs Weekend Robotics Technician?

AspectWeekend Machine Vision EngineerWeekend Robotics Technician
Required CredentialsBachelor's in Engineering, Computer Science, or related field; knowledge of image processing and programmingAssociate's or Bachelor's in Robotics, Electronics, or related field; hands-on technical skills
Work EnvironmentTech labs, manufacturing facilities, or research centers focusing on vision systemsManufacturing floors, maintenance workshops, or field service settings
Industry UsageManufacturing, automation, quality controlManufacturing, assembly lines, equipment maintenance

The Weekend Machine Vision Engineer primarily focuses on developing and implementing vision systems for automation and quality control, requiring programming and image processing skills. In contrast, the Weekend Robotics Technician handles maintenance and troubleshooting of robotic systems, emphasizing hands-on technical skills. Both roles are essential in manufacturing environments but differ in their focus and daily tasks.

What are the key skills and qualifications needed to thrive as a Weekend Machine Vision Engineer, and why are they important?

To excel as a Weekend Machine Vision Engineer, you typically need a background in computer vision, image processing, and a degree in engineering, computer science, or a related field. Familiarity with programming languages like Python or C++, experience with machine vision libraries (such as OpenCV or Halcon), and knowledge of industrial camera systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure the development and maintenance of reliable vision systems that support high-quality automation and manufacturing processes during critical weekend operations.

What does a Weekend Machine Vision Engineer do?

A Weekend Machine Vision Engineer is responsible for developing, testing, and maintaining computer vision systems that enable machines to interpret and process visual data. This role typically involves working weekends to support production lines or R&D projects that need ongoing monitoring and updates outside of standard business hours. Key tasks include programming vision algorithms, integrating cameras and sensors, troubleshooting system issues, and collaborating with other engineers to improve automation and quality control processes. Weekend Machine Vision Engineers are commonly found in manufacturing, robotics, and quality assurance environments that require continuous technical support.

What are some common challenges faced by a Weekend Machine Vision Engineer, and how can they be addressed?

As a Weekend Machine Vision Engineer, you may encounter challenges such as troubleshooting unexpected equipment malfunctions, adapting to rapidly changing production needs, and working with limited on-site support compared to weekday shifts. To address these, it's important to develop strong problem-solving skills, stay up-to-date with the latest software and hardware updates, and maintain clear documentation for seamless communication with weekday teams. Proactively coordinating with colleagues during shift handovers and leveraging remote support resources can also help ensure smooth operations and minimize downtime.
What are the most commonly searched types of Machine Vision Engineer jobs in Virginia? The most popular types of Machine Vision Engineer jobs in Virginia are:
What cities in Virginia are hiring for Weekend Machine Vision Engineer jobs? Cities in Virginia with the most Weekend Machine Vision Engineer job openings:

Engineering Data Scientist-Lynchburg,Virginia

BWX Technologies

Lynchburg, VA • On-site, Remote

$62K - $97K/yr

Full-time

Posted 6 days ago


BWX Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

At BWX Technologies, Inc. (NYSE: BWXT), we are People Strong, Innovation Driven. Headquartered in Lynchburg, Virginia, BWXT is a Defense News Top 100 manufacturing and engineering innovator that provides safe and effective nuclear solutions for global security, clean energy, environmental restoration, nuclear medicine and space exploration. With more than 7,000 employees, BWXT has 14 major operating sites in the U.S., Canada and the U.K. We are the sole manufacturer of naval nuclear reactors for U.S. submarines and aircraft carriers. Our company supplies precision manufactured components, services and fuel for the commercial nuclear power industry across four continents. Our joint ventures provide environmental restoration and operations management at a dozen U.S. Department of Energy and NASA facilities. BWXT's technology is driving advances in medical radioisotope production in North America and microreactors for various defense and space applications. For more information, visit www.bwxt.com . Follow us on LinkedIn , X , Facebook and Instagram .
BWXT is currently seeking a Engineering Data Scientist for its Lynchburg, VA location with some remote work!
BWXT is People Strong, Innovation Driven - be part of BWXT's innovation hub. BWXT's Advanced Technologies (AT) group researches, designs, and develops innovative new nuclear reactors, nuclear rocket propulsion systems, and radioisotope production systems for both internal and external customers.
The Advanced Technology (AT) division at BWXT is seeking a Engineering Data Scientist, a motivated engineer or computer scientist with a desire to use data science to help innovate and transform major nuclear products for space applications, clean power, propulsion, and medicine. Your skills in statistical analyses of high volume data, machine learning, machine vision or artificial intelligence will support research and development of new products as well as their production and delivery. This hybrid position is based in Lynchburg, VA with potential for some remote work.
If you are looking for a career where your experience is valued, innovative thinking is fostered, and barrier-free teamwork is embraced every day, then this opportunity is for you.
Job Description / Duties:
The BWXT Engineering Data Scientist is a R&D role that works with design, test and manufacturing engineers to innovate and build multi-modal sensor suites for data acquisition in our new state-of-the-art prototyping facility, producing insights from experimentation. Your data models may also validate or augment physics models to support design, predict quality outcomes, or automate data processes. You will refine one or more of the following skills in the pursuit of innovative R&D and mastery of your art: the generation of data with instrumentation and sensor suite; machine vision for in-situ analysis; Python and C++ for statistical analyses or machine learning algorithms to detect patterns, predict process outcomes, or manipulate physical systems; and create comprehensive digital twins of product.
Job Qualifications / Requirements:
  • This is an innovation role, must be self-starting and comfortable supporting multiple teams, systems and developing products.
  • A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques.
  • A minimum of 2 years of experience is required.
  • Analytical and machine learning programming skills in C++ and Python required.
  • SQL or familiarity with NoSQL storage techniques or data lakes a plus.
  • Skills related to machine vision, and working with sensors or cameras to extract data for near real time analysis is desired.
  • Travel (10-20%) domestic and international is required.
  • Must be a US Citizen with no dual citizenship.
  • Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

Pay: $ 62000 - $ 97000
The base salary range for this position in Virginia (US-VA) at the start of employment is expected to be between $62000 and $97000 per year. However, the base salary offered is based on local job market factors, and may vary further depending on factors specific to the selected job candidate, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to these considerations, the total compensation package for this position may also include other elements, such as an annual cash incentive in addition to a full range of medical, retirement, and/or other benefits. Details of participation in these benefit plans will be provided at such time the selected job candidate receives an offer of employment. If hired, the selected job candidate will be employed 'at-will,' unless employed at a location and in a position subject to a collective bargaining agreement. The company further reserves the right to modify base salary (as well as any other discretionary payment, compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and other market factors.
As a federal government contractor, BWX Technologies, Inc. and any subsidiaries, affiliates and related entities ("BWXT" or the "Company") complies with all federal, state, and local laws and customer requirements regarding health and safety protocols. As such, all BWXT new hires will be required to adhere to applicable Company health and safety requirements within the workplace as a condition of employment.
Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. Position requires U.S. citizenship with (no dual citizenship) ability to obtain and maintain a Department of Energy (DOE) security clearance which involves an extensive criminal and financial background investigation, drug test and previous employment reference verifications.
BWXT supports diversity and is committed to the concept of Equal Employment Opportunity. We have established procedures to ensure that all personnel actions such as recruitment, compensation, career development, benefits, company-sponsored training and social recreational programs are administered without regard to race, color religion, gender, national origin, citizenship, age, disability or veteran status.
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf
Nearest Major Market: Lynchburg
Nearest Secondary Market: Virginia
Job Segment: Nuclear Engineering, Facilities, R&D Engineer, Nuclear Physics, DoD, Engineering, Operations, Science, Government

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