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Physics Informed Machine Learning Jobs in Wisconsin

Senior AI Engineer

Green Bay, WI · On-site

$101K - $139K/yr

Generative AI and Machine Learning Development: * Implement and integrate generative AI models and ... Bachelor's degree in computer science or related technical field involving coding (e.g., physics or ...

WI · On-site

Leverage your knowledge of mathematics, statistical methods, Machine Learning and/or AI to improve ... Requirements * Master's degree in mathematics, physics, computer science, engineering or an ...

WI · On-site

NVIDIA's platforms for machine learning, deep learning and high-performance computing have already ... MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. * 8+ ...

WI · On-site

... physics, computational science, or a related field with experience in vascular imaging research ... Familiarity with vascular imaging software, image post‑processing, and AI/machine learning ...

... informed decision-making and driving business growth. Within our Technology Consulting practice ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

WI · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... Drive data-informed initiatives that improve business performance**Merchant & Sales Analytics*

WI · On-site

Meet with vendors to confirm component selection and stay informed on new technologies in machine ... Experience with AI Neural Networks, 3D Imaging and Metrology Inspections (Cognex ViDi Deep Learning ...

WI · On-site

NVIDIA's platforms for machine learning, deep learning and high-performance computing have already ... Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience ...

WI · On-site

Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines ... Stays informed on emerging AI/ML advancements and evaluates their potential to enhance business ...

They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at ...

... informed decision-making and driving business growth. Within our Internal Firm Services practice ... the implementation of machine learning algorithms and predictive modeling techniques ...

WI · On-site

We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges ...

You'll design and implement AI-powered automation solutions using machine learning, intelligent ... Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.

Senior Engine Code Engineer

Waukesha, WI

$104K - $143K/yr

Apply data analysis techniques, including Matlab/Simulink modeling and Python-based scripting and machine learning, to support code performance forecasting. * Stay informed on relevant technologies ...

Showing results 41-60

Physics Informed Machine Learning information

What is a physics informed machine learning?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are the typical challenges faced by professionals working in physics informed machine learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What are the key skills and qualifications needed to thrive in the physics informed machine learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are popular job titles related to Physics Informed Machine Learning jobs in Wisconsin?

For Physics Informed Machine Learning jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Physics Informed Machine Learning jobs in Wisconsin look for?

The top searched job categories for Physics Informed Machine Learning jobs in Wisconsin are:

What cities in Wisconsin are hiring for Physics Informed Machine Learning jobs?

Cities in Wisconsin with the most Physics Informed Machine Learning job openings:

Sr Data Scientist - Supply Chain Optimization (Middle Mile)

Stevens Point, WI • On-site

Target
Retail • 10K+ employees

$98K - $211K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,065 frontline employees who took The Breakroom Quiz


Job description

The pay range is $98,000.00 - $211,000.00

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 SR DATA SCIENTIST - SUPPLY CHAIN OPTIMIZATION

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 predictiveand prescriptive algorithmsthatuse data to automateand optimize decisions at scale. The Target Data Science - Global Supply Chain and Logistics team leverages operations research, simulation and machine learning to help Target makes intelligent, end-to-end supply chain business decisions. This involves writing high-performant, scalable Python code as well as designing analytical solutions to extract insights and to prescribe best courses of action.

You'll work in an environment that provides the freedom and agility of a startup - with the security and vast resources of a large established company with continuous learning opportunities provided.

In this role at Target as a Sr Data Scientist - Supply Chain you will:

  • Work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models
  • Collaborate with engineers to design and deploy algorithms in production at scale. Our models run many times a day for millions of combinations of stock keeping units and distribution networks
  • Work with business partners to learn about the retail business and processes in play
  • Ideate and resolve tradeoffs between model granularity and features as well as performance, reliability, and usability of our codebase. Improve engineering standards, tooling, and processes

What we're looking for:

  • Strong knowledge of supply chain optimization - inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
  • Strong computer science fundamentals with rock-solid, well-structured and efficient code: data structures, design, algorithms, programming and information retrieval
  • Strong technical and communication skills to deliver with quality and evangelize technical solutions to business, product and engineering partners
  • Ability to write understandable, testable code with an eye towards maintainability
  • You constantly think about the end-user for solutions you develop, and prioritize business impact over technical sophistication
  • Ability to deal with ambiguity, and prioritize progress over perfection
  • You have an eye for detail, and relentless curiosity for supply chain problems
  • You have a knack for answering open questions with data
  • You understand that simplicity is hard but key to achieving maintainability and to being able to continually deliver value to the business

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

About you:

  • MS of PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fields
  • 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning at scale
  • Extensive experience writing highly performant code and deploying algorithms in a production environment. Proficient in predictive and prescriptive algorithms
  • Demonstrated experience in one or more programming languages: Python, R or Java
  • Expert at formulating and implementing mathematical models ranging from mixed-integer programming, stochastic dynamic programming and reinforcement learning
  • Experience in implementing advanced statistical techniques like regression, clustering, PCA, time series forecasting, etc.
  • Proficient in application/software architecture (definition, process modeling, etc.)
  • Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python
  • Able to produce reasonable documents and narratives suggesting actionable insights
  • Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented; able to meet tight timelines
  • Collaborative team player with ability to partner effectively across time zones

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 Sunnyvale 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.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.

Benefits Eligibility

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

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.

Application deadline is : 09/24/2026

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