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Entry Level Computer Vision Deep Learning Engineer Jobs in Arendtsville, PA

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Medical, dental, vision, 401(k) with match, company paid short- and long-term disability, 12 paid ... print, to CAD to 3D, Landis Engineering capabilities offer a rich heritage of problem-solving.

Be Seen First

Medical, dental, vision, 401(k) with match, company paid short- and long-term disability, 12 paid ... print, to CAD to 3D, Landis Engineering capabilities offer a rich heritage of problem-solving.

Entry Level Field Technician

Mechanicsburg, PA · On-site

$18.75 - $25.50/hr

This role is ideal for someone who enjoys working in the field, learning a skilled trade, and ... Medical, Dental, Vision & Life Insurance * 401(k) with company match and annual bonus * Paid ...

... reciprocal learning among team members. * Actively engages multiple perspectives when solving ... dental, vision, disability, and life insurance. • Tax-deferred 401(k) savings plan. • ...

... reciprocal learning among team members. * Actively engages multiple perspectives when solving ... medical, dental, vision, disability, and life insurance. Tax-deferred 401(k) savings plan.

Structural Engineer

Grantham, PA · On-site

$122K - $154K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Expected salary range: Entry-Level - $87,000 Mid-Level - $92,700 - $114,000 Sr Level - $122,400 ...

Structural Engineer

Mechanicsburg, PA · On-site

$122K - $154K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Expected salary range: Entry-Level - $87,000 Mid-Level - $92,700 - $114,000 Sr Level - $122,400 ...

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Expected salary range: Entry-Level - $87,000 Mid-Level - $92,700 - $114,000 Sr Level - $122,400 ...

New

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Expected salary range: Entry-Level - $87,000 Mid-Level - $92,700 - $114,000 Sr Level - $122,400 ...

New

Structural Engineer

Mechanicsburg, PA · On-site

$122K - $154K/yr

... vision benefits, including robust wellbeing programs disability and life insurance benefits paid ... Expected salary range: Entry-Level - $87,000 Mid-Level - $92,700 - $114,000 Sr Level - $122,400 ...

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Entry Level Computer Vision Deep Learning Engineer information

See Arendtsville, PA salary details

$44.6K

$111.7K

$126.3K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for entry level computer vision deep learning engineer in Arendtsville, PA is $111,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $120,800.00 per year, depending on experience, location, and employer.

What types of projects do entry level computer vision deep learning engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an entry level computer vision deep learning engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an entry level computer vision deep learning engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Arendtsville, PA as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $111,651 per year, or $53.7 per hour.

AI & Data Science Intern

Carlisle Companies, Inc.

Carlisle, PA • On-site

Full-time

Re-posted 8 days ago


Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.
Duties and Responsibilities:
  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:
  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:
Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.
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