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Deep Learning Engineer Jobs in Minnesota (NOW HIRING)

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our ... GEPA) * Knowledge of and practical experience working on Deep Learning libraries (like Torch ...

Machine Learning Engineer II

Minneapolis, MN · On-site

$102K - $144K/yr

Worker Type Regular Summary The Machine Learning Engineer II will be a member of the Learning and ... Proficiency with a deep learning framework such as TensorFlow or Keras * Proficiency with basic ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Deep Learning Engineer information

See Minnesota salary details

$37.2K

$113.5K

$187.6K

How much do deep learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for deep learning engineer in Minnesota is $113,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Minnesota? For Deep Learning Engineer jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Deep Learning Engineer job openings in Minnesota as of June 2026, with employment types broken down into 10% Internship, 72% Full Time, and 18% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $113,479 per year, or $54.6 per hour.