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Full Time Computer Vision Jobs in Magnolia, NJ (NOW HIRING)

Philadelphia, PA (Hybrid -3 days) - Remote Employment Type: Full-Time Salary: $180K + equity About ... Guthrie AI is hiring a Founding AI / ML Engineer with deep expertise in Computer Vision to lead ...

Residential Aide (F/T)

Philadelphia, PA · On-site

$17.63/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Basic to intermediate computer skills (Internet & E-Mail) * Strong interpersonal, organizational ... Vision insurance * Life insurance * 403(b) * Employee Assistance Program * Employee Perks Program

Framer - Full-time

Burlington, NJ · On-site

$16 - $18.80/hr

  • Medical

  • Dental

  • Vision

  • PTO

... computer skills and basic measuring skills * ability to operate the framing equipment and glass ... Our benefits include health insurance (medical, dental, and vision), paid time off, tuition ...

Electrician - Full Time - Days

Philadelphia, PA · On-site

$24.50 - $33.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... basic computer skills, and mathematics. [Preferred] * Good knowledge of codes and standards and ... Comprehensive benefit packages, including medical, dental, vision, mental health, paid time off ...

Medical Assistant (Full Time)

Swedesboro, NJ · On-site

$18 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Dental and Vision on 1stof the month after date of hire * 401K after 30 days of employment ... Must be computer savvy and familiar with Microsoft Word, Excel and Outlook * Strong communication ...

Base Communicator Full-time Nights

Pennsauken, NJ · On-site

$21.85 - $32.83/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer literate and ability to generate accurate records. Ability to speak clearly and to ... vision insurance; health and dependent care flexible spending accounts; 403(b) (401(k) subject to ...

Medical Assistant (Full Time)

Bala Cynwyd, PA

$16.75 - $21.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Dental and Vision on 1stof the month after date of hire * 401K after 30 days of employment ... Must be computer savvy and familiar with Microsoft Word, Excel and Outlook * Strong communication ...

Electrician - Full Time - Days

Darby, PA · On-site

$23.50 - $32.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... basic computer skills, and mathematics. (Preferred) * Good knowledge of codes and standards and ... Comprehensive benefit packages, including medical, dental, vision, mental health, paid time off ...

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Showing results 1-20

Full Time Computer Vision information

See Magnolia, NJ salary details

$34.3K

$49.4K

$65K

How much do full time computer vision jobs pay per year?

As of Aug 19, 2026, the average yearly pay for full time computer vision in Magnolia, NJ is $49,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,900.00 and $56,800.00 per year, depending on experience, location, and employer.

What is a full time computer vision job?

A Full Time Computer Vision job involves working as a specialist in developing systems and algorithms that enable computers to interpret and understand visual information from the world, such as images or videos. Professionals in this field typically design, implement, and optimize computer vision models for tasks like object detection, facial recognition, image segmentation, and video analysis. These roles are commonly found in industries like technology, healthcare, automotive, and robotics, and often require strong programming skills, experience with machine learning frameworks, and a background in mathematics or engineering. Full time positions mean employees work regular hours and receive benefits typical of permanent staff roles.

What are the key skills and qualifications needed to thrive as a full time computer vision engineer?

To thrive as a Full Time Computer Vision Engineer, you need a strong background in mathematics, programming (especially Python or C++), and experience with image processing or machine learning, usually supported by a degree in computer science or a related field. Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, as well as experience deploying models on various platforms, is highly valued. Problem-solving ability, attention to detail, and effective teamwork are essential soft skills for success in this role. These competencies enable engineers to develop, optimize, and implement innovative vision-based solutions that meet real-world challenges.

What are some common challenges faced by computer vision engineers working full-time, and how can they be addressed?

Full-time computer vision engineers often encounter challenges such as handling large and complex datasets, ensuring model accuracy in diverse real-world conditions, and keeping up with rapidly evolving technologies. Collaborating closely with data scientists, software engineers, and product teams is essential to align solutions with business goals and deploy models effectively. Staying updated through continuous learning and leveraging open-source tools or frameworks can help address these challenges and foster professional growth.

What are the most commonly searched types of Computer Vision jobs in Magnolia, NJ?

The most popular types of Computer Vision jobs in Magnolia, NJ are:

Infographic showing various Full Time Computer Vision job openings in Magnolia, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $49,402 per year, or $23.8 per hour.

Founding AI Engineer

Mintex Technology

Philadelphia, PA • On-site

$180K/yr

Full-time

Re-posted 20 days ago


Job description

Title: Founding AI / ML Engineer  
Location: Philadelphia, PA (Hybrid -3 days) - Remote
Employment Type: Full-Time
Salary: $180K + equity
 
About Company:
******** is building the AI-powered workflow layer for construction, one of the world's largest industries.
Headquartered in Philadelphia with a remote-first team and a newly opened Philadelphia hub, Company has recently closed a seed funding round (term sheets signed, announcement pending). The company has approximately $2M ARR on its core product and plans to grow revenue 10x over the next 12 months.
The team includes a Chief AI Officer, seven engineers (two AI/ML engineers and five full-stack engineers), and a founding team working directly alongside customers to build and refine the platform.
Construction has resisted previous attempts at automation for more than 15 years. Subcontractors the company's core customers have seen little meaningful software innovation during that time. Agents and multimodal AI present the first significant opportunity to transform the industry. Because construction diagrams and floor plans are not well represented in the training data of existing foundation models, team is making a core technical investment in training its own models.
 
About the Role:
  • Guthrie AI is hiring a Founding AI / ML Engineer with deep expertise in Computer Vision to lead model development for the platform.
  • Construction diagrams and floor plans are not included in the training data of off-the-shelf foundation models, making in-house model development a critical part of the company's technical strategy. This role will own that initiative.
  • Approximately half of the role focuses on computer vision, including segmentation models (SAM-level work, ideally with deep 2D segmentation expertise), classifiers, and object detection for floor plans and technical drawings. The emphasis is on architectural improvements and model development rather than simple fine-tuning.
  • The remaining portion of the role focuses on agentic orchestration and retrieval, including LLMs, fine-tuning small language models, RAG, and evaluating local versus foundation model trade-offs.
  • This position reports directly to the Chief AI Officer. The existing AI/ML engineers (2–3) will report to this individual, making technical leadership and onsite collaboration highly valuable.
Key Responsibilities:
  • Train and improve in-house computer vision models for construction diagrams, including segmentation, object detection, and classifiers.
  • Lead model architecture development and improvements where off-the-shelf foundation models reach their limitations.
  • Own the AI/ML model development roadmap and establish the technical direction for the AI/ML team.
  • Build agentic orchestration and retrieval workflows, including RAG pipelines, fine-tuning, local versus foundation model selection, and cost optimization.
  • Provide technical leadership and guidance to the existing AI/ML engineering team.
Requirements :
Must-Have:
  • Deep expertise in computer vision with demonstrated experience in 2D segmentation. Experience with foundation models such as SAM, SAM3, or comparable models, with the ability to make architectural improvements beyond fine-tuning.
  • Strong proficiency in Python, PyTorch, and CUDA, with experience shipping production-grade ML systems or a rigorous publication record in computer vision research.
  • Proven ability to train and improve in-house models from scratch when off-the-shelf models are insufficient.
  • Strong research background, with a publication record in computer vision preferred. Both research-focused candidates who remain hands-on and applied production computer vision engineers are encouraged to apply.
  • Willingness to work onsite at the Philadelphia hub three days per week (flexibility available for exceptional candidates).
Nice-to-Have:
  • Experience working with construction diagrams, floor plans, technical drawings, or architectural computer vision.
  • Experience with agentic orchestration and retrieval, including LLMs, RAG, fine-tuning, small language models, and local versus foundation model trade-offs.
  • Experience with object detection and classical classifiers.
  • Published research in raster-to-sequence models, floor plan localization, structural priors, or related computer vision subfields.
  • Previous technical leadership experience, including mentoring or managing AI/ML engineers.