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Physics Based Machine Learning Jobs in Elk River, MN

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Define the right AI approach across machine learning and Generative AI initiatives * Establish ... Experience with cloud-based AI platforms and services * Familiarity with MLOps, AI governance, and ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

... based data storage solutions (e.g., Azure Blob Storage, Cosmos DB, etc.). o Experience with DevOps practices for machine learning, including CI/CD for AI systems, containerization (Docker), and ...

XFORIA Inc

Mlops Engineer - only W2

Minneapolis, MN · On-site

$119K - $143K/yr

... AI-based batch processing pipelines . The ideal candidate should demonstrate expertise in the following areas: End-to-End Machine Learning Pipeline Development * Data pre-processing * Batch ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

... and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an ...

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Physics Based Machine Learning information

See Elk River, MN salary details

$5

$21

$26

How much do physics based machine learning jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for physics based machine learning in Elk River, MN is $21.24, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $26.97 per hour, depending on experience, location, and employer.

What is a physics based machine learning?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What does a physics based machine learning professional do?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What are the key skills and qualifications needed to thrive in physics based machine learning?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What cities near Elk River, MN are hiring for Physics Based Machine Learning jobs?

Cities near Elk River, MN with the most Physics Based Machine Learning job openings:

Physics Based Machine Learning jobs near you

AI/ML Architect

Tror AI for everyone

Minneapolis, MN • Remote

Contractor

Re-posted 23 days ago

Job description

Role: AI/ML Architect

Remote

JD-

  • AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives.
  • Job Description:
  • Design and lead AI architecture for business use cases
  • Define the right AI approach across machine learning and Generative AI initiatives
  • Establish architecture standards, reusable patterns, and best practices for AI development
  • Guide integration of AI models into applications and enterprise systems
  • Lead development, deployment, monitoring, and continuous improvement of AI solutions
  • Ensure AI solutions are secure, scalable, reusable, and aligned with governance standards
  • Work closely with business, engineering, and data teams to deliver practical AI solutions
  • Provide technical leadership and guidance across AI initiatives
  • Recommend tools, platforms, and best practices for AI development
  • Skills / Requirements:
  • Experience with AI/ML and Generative AI, including LLMs, prompting, orchestration, and evaluation
  • Ability to design scalable, reusable AI architectures
  • Applied machine learning knowledge (model selection, training, tuning)
  • Strong understanding of machine learning concepts and model lifecycle
  • Proficiency in Python for AI/ML solution development
  • Experience integrating AI models through APIs and enterprise systems
  • Experience with cloud-based AI platforms and services
  • Familiarity with MLOps, AI governance, and platforms such as Azure, AWS, or Google Cloud

Client Feedback-

The candidate should have more AI/ML experience – Blend of Hands on experience + Solutioning.