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Deep Learning Jobs in Minnesota (NOW HIRING)

Whiterabbit.ai

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 ...

AV

Summer 2027 Machine Learning Intern

Saint Paul, MN · On-site

Exposure to deep learning frameworks (e.g., TensorFlow, Keras). * Familiarity with Python and libraries such as scikit-learn and pandas. * Experience with data visualization and handling large ...

AV

Exposure to deep learning frameworks (e.g., TensorFlow, Keras). * Familiarity with Python and libraries such as scikit-learn and pandas. * Experience with data visualization and handling large ...

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

... deep learning framework (e.g., PyTorch, TensorFlow) • Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML) • Experience deploying ...

Kitware

Computer Vision Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting ...

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All JobsDeep Learning JobsDeep Learning Jobs in Minnesota

Deep Learning information

See Minnesota salary details

$10.8K

$82.2K

$137.1K

How much do deep learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for deep learning in Minnesota is $82,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Minnesota?

The most popular types of Deep Learning jobs in Minnesota are:

What are popular job titles related to Deep Learning jobs in Minnesota?

For Deep Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Minnesota look for?

The top searched job categories for Deep Learning jobs in Minnesota are:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $82,158 per year, or $39.5 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai
Software Development • 51 - 200 employees
Learn more about Whiterabbit.aiexternal

Internship

Re-posted 25 days 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