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Deep Learning Engineer Jobs in Minnesota (NOW HIRING)

Deep understanding of user modeling, embeddings, similarity search and ranking models * Strong ... Learning (ML), Python (Programming Language), Structured Programming Bachelor's Degree or ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Senior Software Engineer

Minnetonka, MN · On-site +1

$91K - $163K/yr

Apply NLP, LLMs, embeddings, and deep learning techniques to enable impactful Digital experiences ... Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable ...

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

A strong foundation in deep learning, and machine learning is highly desirable. Experience or ... programming, and Generative AI knowledge lookup tools is a plus. We are a leading provider of ...

... using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and ...

Job Requisition ID # 26WD97132 26WD97132, Pr incipal Machine Learning Engineer, ML Platform and ... Deep experience in software architecture, distributed systems, large-scale data platforms, or ML ...

AI engineer

Minneapolis, MN

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and ... Deep hands-on experience with PyTorch or TensorFlow. * GenAI / LLM Stack : Proven experience with ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Machine Learning Deep Learning Big Data Platforms Natural Language Processing (NLP) Data Engineering Time Series Analysis Linear & Non-Linear Modeling Data Mining Optimization & Simulation • Strong ...

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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 20, 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.
Machine Learning Lead Engineer : Fractal AI

Machine Learning Lead Engineer : Fractal AI

ShiftCode Analytics

Minneapolis, MN

$107K - $140K/yr

Other

Posted 13 days ago


Job description

Job Title

Interview : Video Visa : USC, GC, GC EAD Locations : Minneapolis, Seattle, Chicago, or Bay Area ( candidate must be local to any of these locations )

Mandatory Skills:

  • 3-5 years experience working with MLOps system
  • Must have Healthcare industry experience
  • 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years into Data Science
  • Expert on using Python to develop scripts for MLOps
  • Expert on cloud platform (Azure/AWS) developer environments

Requirements Experience in:

  • Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale
  • Organizing offline models that data scientists build and turn them into a real machine learning production system
  • Developing and deploying scalable tools and services for our clients to handle machine learning training and inference
  • Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow)
  • Developing and maintaining Client systems built with open source tools (Kale)
  • Facilitating the development and deployment of proof-of-concept machine learning systems
  • Previous work with data drift model drift
  • Expertise on Kubernetes, Kafka, and/or docker
  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
  • Expert in using AWS or Azure Client tools (SageMaker/Azure Client etc.) [preferred]

ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019