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Entry Level Computer Vision Deep Learning Engineer Jobs in Pine Island, MN

Mayo Clinic

Research Fellow - Engineering

Rochester, MN · On-site

... multi-modal deep learning; (3) image guided radiation therapy with a focus on novel imaging ... D. degree in Medical Physics, Computer Science, Electrical and Computer Engineering, Biomedical ...

Mayo Clinic

Research Fellow - Engineering

Rochester, MN · On-site

$64K - $80K/yr

Vision: Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible ... multi-modal deep learning; (3) image guided radiation therapy with a focus on novel imaging ...

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All JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Pine Island, MN

Entry Level Computer Vision Deep Learning Engineer information

See Pine Island, MN salary details

$48K

$120.3K

$136.2K

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

As of Jun 21, 2026, the average yearly pay for entry level computer vision deep learning engineer in Pine Island, MN is $120,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $130,200.00 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or in high-demand industries. Roles like senior machine learning engineers or AI specialists with expertise in deep learning and computer vision are among those that may reach this compensation level.

Which 5 jobs will survive AI?

Entry Level Computer Vision Deep Learning Engineers are likely to continue in demand as AI advances, especially in fields requiring specialized knowledge of neural networks, image processing, and machine learning frameworks. Roles that involve designing, training, and maintaining AI models, along with skills in programming, data analysis, and domain expertise, are expected to persist. Jobs that require complex problem-solving, creativity, and human judgment will also remain resilient despite automation trends.

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 engineer makes $500,000 a year?

Highly experienced computer vision deep learning engineers working in senior or specialized roles at top tech companies can earn $500,000 or more annually, especially with bonuses and stock options. Such compensation typically requires advanced skills in deep learning frameworks, extensive industry experience, and often involves leadership or research positions in competitive environments.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including in roles like entry-level computer vision deep learning engineers. Skills in deep learning frameworks such as TensorFlow or PyTorch are in high demand, and the field continues to grow with advancements in AI and machine learning. Job opportunities remain strong for those with relevant technical expertise.

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.
What cities near Pine Island, MN are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Pine Island, MN with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
Infographic showing various Entry Level Computer Vision Deep Learning Engineer job openings in Pine Island, MN as of June 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,327 per year, or $57.8 per hour.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Rochester, MN

Other

Posted 1 hour ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply