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Deep Learning Jobs in Minnesota (NOW HIRING)

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 AI Scientist

Minneapolis, MN · On-site +1

$95.50K - $130.50K/yr

Develop & finetune retrieval/ranking models using supervised learning, deep learning, LLMs, and generative AI (e.g., Two Tower models, Sequence models, GNNs, etc.) * Design custom evaluation metrics ...

Senior AI Scientist

Richfield, MN · On-site +1

$94.70K - $129.40K/yr

Develop & finetune retrieval/ranking models using supervised learning, deep learning, LLMs, and generative AI (e.g., Two Tower models, Sequence models, GNNs, etc.) * Design custom evaluation metrics ...

Senior AI Scientist

Richfield, MN · On-site

$104.14K - $186.56K/yr

Develop & finetune retrieval/ranking models using supervised learning, deep learning, LLMs, and generative AI (e.g., Two Tower models, Sequence models, GNNs, etc.) * Design custom evaluation metrics ...

... 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 ...

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Showing results 1-20

Deep Learning information

See Minnesota salary details

$10.8K

$82.2K

$137.1K

How much do deep learning jobs pay per year?

As of May 30, 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 key skills and qualifications needed to thrive in the Deep Learning position, and why are they important?

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 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 deep learning jobs?

Deep learning jobs involve developing and applying neural network models to solve complex problems such as image recognition, natural language processing, and speech analysis. These roles typically require skills in programming languages like Python, experience with frameworks like TensorFlow or PyTorch, and a strong understanding of machine learning concepts. They are common in industries such as technology, healthcare, and finance, often requiring a background in computer science or related fields.
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:
Principal AI Engineer - Advanced AI (Machine Learning, Python, Deep Learning)

Principal AI Engineer - Advanced AI (Machine Learning, Python, Deep Learning)

Target

Minneapolis, MN

$168K - $303K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,800 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $168,000.00 - $303,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A PRINCIPAL AI ENGINEER - ADVANCED AI

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. In this role you'll be challenged to harness Target's impressive data breadth to build the algorithmsthat power solutions our partners in Digital/Ecommerce, Marketing, Supply Chain Optimization, Search and Personalization. Every Scientist on Target's Data Sciences team can expect modeling and software/product development of highly performant code for model performance to elevate Target's culture and apply retail domain knowledge.

As a Principal AI Engineer - Advanced AI, you'll join Target's Advanced AI team, a centralized group focused on building and owning capabilities that use advanced AI technologies to drive automation, insight, and action across core business workflows. In this role, you'll provide deep technical leadership across enterprise AI initiatives by partnering with engineering, product, and business teams to shape scalable solution patterns, accelerate development, and deliver high-impact AI applications that optimize business workflows and create measurable value.

You will help design, build, deploy, and scale end-to-end AI solutions, including architecting agentic and LLM-powered systems, evaluating and selecting the right models and frameworks, and establishing strong observability, evaluation, and engineering practices to ensure solutions are production-ready, maintainable, and well-documented. Given the pace of change in this space, you will also stay current on emerging technologies, recommend tooling and architectural approaches, publish learnings for the team and broader organization, and influence technical direction and engineering standards across Advanced AI initiatives. We utilize Agile principles, follow best-practice software design, participate in code reviews, and create maintainable, well-tested codebases with relevant documentation.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

  • PhD or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
  • Deep experience designing and delivering real-world AI and machine learning solutions including LLM-based, agentic, or other advanced AI systems in production environments
  • 7 plus years of demonstrated hands-on experience in software engineering and applied AI/ML development - including Python and modern ML / deep learning frameworks such as PyTorch, TensorFlow or similar tools
  • Extensive experience with AI engineering tooling and platforms such as agent development frameworks, model APIs, evaluation and observability frameworks, cloud ML platforms, containers, and orchestration technologies
  • Strong understanding of system design, model and architecture tradeoffs, experimentation, evaluation strategy, performance optimization, and production deployment considerations for AI systems
  • Experience building scalable, maintainable, and well-tested services or platforms including version control, CI/CD, code review practices, and operational monitoring
  • Ability to translate ambiguous business problems into clear technical approaches and create strong technical documentation, narratives, and recommendations for a range of audiences
  • Excellent communication and influencing skills, with the ability to explain complex technical concepts to both technical and non-technical partners and leaders
  • Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards in a fast-evolving domain
  • Collaborative team player with experience working effectively across functions, organizations, and geographies, and with a demonstrated commitment to continuous learning and knowledge sharing

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_F

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Target logo

About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US