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Pytorch Jobs in Minnesota (NOW HIRING)

drc

Machine Learning Engineer - Python

Maple Grove, MN · On-site

Experience with ML frameworks such as TensorFlow or PyTorch * Experience preparing datasets, training models and evaluating performance * Hands-on experience with NLP techniques and large language ...

Best Buy

Engineer II - AI Foundations

Richfield, MN · Hybrid

$100K - $138K/yr

Familiarity with ML frameworks and optimization technologies such as PyTorch, ONNX, and TensorRT * Strong communication and collaboration skills with the ability to work effectively across ...

Best Buy

Engineer II - AI Foundations

Richfield, MN · Hybrid

$100K - $138K/yr

Familiarity with ML frameworks and optimization technologies such as PyTorch, ONNX, and TensorRT * Strong communication and collaboration skills with the ability to work effectively across ...

Best Buy

Engineer II - AI Foundations

Richfield, MN · On-site

$93K - $166K/yr

Familiarity with ML frameworks and optimization technologies such as PyTorch, ONNX, and TensorRT * Strong communication and collaboration skills with the ability to work effectively across ...

Lindsay & Brownell

AI Solution Architect

Minneapolis, MN · On-site +1

$65.75 - $86.75/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

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Pytorch information

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$78.2K

$140.2K

$201.1K

How much do pytorch jobs pay per year?

As of Jun 27, 2026, the average yearly pay for pytorch in Minnesota is $140,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,076.00 and $171,490.00 per year, depending on experience, location, and employer.

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

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Minnesota? The most popular types of Pytorch jobs in Minnesota are:
What are popular job titles related to Pytorch jobs in Minnesota? For Pytorch jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Minnesota look for? The top searched job categories for Pytorch jobs in Minnesota are:
What cities in Minnesota are hiring for Pytorch jobs? Cities in Minnesota with the most Pytorch job openings:
Pytorch jobs near you
Infographic showing various Pytorch job openings in Minnesota as of June 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $140,224 per year, or $67.4 per hour.

Machine Learning Engineer - Python

drc

Maple Grove, MN • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

Data Recognition Corporation, Maple Grove MN

Company cannot provide sponsorship for this role

Please, no agencies or third parties

Summary: 

DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing productionready ML models. Working within an interdisciplinary team, you will develop Pythonbased AI solutions that run in scalable, cloudnative environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.

Essential Responsibilities:

 

  • Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.

Required Qualifications:

 

  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation

Preferred Qualifications (nice to have, not required):

 

  • Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow

Essential Job Requirements:

  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

 

Reporting to this position: No direct reports

DRC retains the right to change or assign other duties to this position

No Agencies, Please

Company cannot provide sponsorship for this position

www.datarecognitioncorp.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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