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Physics Informed Machine Learning Jobs in Kentucky

Pwc

AI Engineer

Louisville, KY

$55K - $187K/yr

... machine learning solutions - Conducting complex data analysis to identify patterns and trends for informed decision-making - Collaborating with internal teams to enhance data infrastructure and ...

New

Pwc

AI Engineer

Louisville, KY · On-site

$50K - $112K/yr

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

Elevance Health

Data Scientist Analyst

Louisville, KY · On-site +1

Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 1 or more years of experience ...

Pwc

CTIO AI Engineering Manager

Louisville, KY · On-site

$73K - $244K/yr

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 ...

Pwc

AI Solutions Engineering Delivery Lead

Louisville, KY

$98K - $129K/yr

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 ...

Pwc

NGA AI Engineer Manager

Louisville, KY

$73K - $244K/yr

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 ...

Pwc

NGA AI Engineer Senior Manager

Louisville, KY · On-site

$91K - $321K/yr

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 ...

Pwc

US Tech - AI Engineering Manager

Louisville, KY · On-site

$73K - $244K/yr

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 ...

Humana

AI Fellow

Louisville, KY

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

Humana

AI Fellow

Louisville, KY · On-site

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

Humana, Inc.

AI Fellow

Louisville, KY · On-site

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

Humana

AI Fellow

Louisville, KY

... informed. * Serve as a storytelling partner to Enterprise AI leadership, helping frame AI ... Machine learning lifecycle and MLOps * Generative AI and LLM ecosystems * Data architectures and ...

Hart County Schools

26-27 Teacher -Science

Munfordville, KY

$37K - $47K/yr

... physics; develops students skills and abilities in scientific methods and problem-solving, as well ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

Pwc

GenAI Python Systems Engineer-Manager

Louisville, KY · On-site

$99K - $232K/yr

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

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Physics Informed Machine Learning information

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 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 is a Physics Informed Machine Learning job?

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 popular job titles related to Physics Informed Machine Learning jobs in Kentucky? For Physics Informed Machine Learning jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in Kentucky look for? The top searched job categories for Physics Informed Machine Learning jobs in Kentucky are:
What cities in Kentucky are hiring for Physics Informed Machine Learning jobs? Cities in Kentucky with the most Physics Informed Machine Learning job openings:
Physics Informed Machine Learning jobs near you
Infographic showing various Physics Informed Machine Learning job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

AI RESEARCH SCIENTIST/ENGINEER

Gen Nine, Inc.

Covington, KY

Full-time

Re-posted 13 days ago

Job description

The Company

Gen Nine develops state-of-the-art, hardware and software solutions for healthcare applications. Working at Gen Nine means applying your passion and intellect to help solve some very challenging technical problems and thereby create some of the most advanced products in the world. If you're interested in working with small teams of highly talented and motivated engineers seeking to make a difference in the world, Gen Nine may be the place for you.


Location

This position is based in the vibrant Cincinnati area. Our offices overlook the spectacular Cincinnati skyline and are within walking distance to downtown shopping, shopping malls, restaurants, entertainment, waterfront parks, major league sporting venues and are less than a 20-minute drive to CVG, an international airport.


Position

We are looking for a creative expert who is interested in applying AI techniques to solve problems in healthcare. These include biological simulations, sensor data processing and analysis, and health and safety monitoring as part of multiple full-time, multi-year research and development projects funded by the National Institutes of Health. This is a paid, full-time, onsite position.


Skills, Experience and Qualifications

  • The ideal candidate will be a passionate engineer/scientist who is comfortable in both the hardware and software worlds with an advanced degree in Computer Science, Engineering, or another STEM field.
  • Excellent programming skills in Python, C++, Tensorflow, PyTorch, CUDA and/or similar languages.
  • Broad familiarity with Deep Learning tools and processes used in 3D Computer Graphics, and Animation.
  • Work experience with machine learning, deep learning, and reinforcement learning.
  • A background in machine learning techniques with large amounts of noisy data, and curiosity in applying it to complex problems.
  • Relevant research experience and publications.
  • Be capable of developing effective techniques and infrastructure, from the initial idea to prototypes and products.
  • Have experience with cloud environments and multi-machine setups.
  • Enthusiasm and the ability to participate in a small-team environment in order to solve interesting and complex problems, with or without supervision.
  • Ability to think entrepreneurially and innovate in a real-world environment.
  • A PhD. Is preferred, but will consider a M.S. degree in Computer Science, Computational Neuroscience, Physics, Mathematics, Electrical/Computer Engineering, or a related field with appropriate experience.
Employment Type: FULL_TIME
Gen Nine logo

About Gen Nine

Sourced by ZipRecruiter

Industry

Fitness and sports centers

Company size

11 - 50 Employees

Headquarters location

Covington, KY, US

Year founded

2005

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