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Physics Based Machine Learning Jobs in Indianapolis, IN

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Responsibilities : • Perform AI/ML ...

AI Engineer

Indianapolis, IN · 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 ...

Data Scientist

Indianapolis, IN · On-site

$105K - $195K/yr

Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and ... Actual pay will be determined based on experience, qualifications, geographic location, and other ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Machine Operator

Greenfield, IN · On-site

$16.25 - $19.50/hr

The structured 6- to 8-week training program combines classroom and hands-on learning, giving you a ... Work Environment The role is based in a large, approximately 1 million square foot manufacturing ...

Machine Operator

Greenfield, IN · On-site

$16.25 - $19.50/hr

The structured 6- to 8-week training program combines classroom and hands-on learning, giving you a ... Work Environment The role is based in a large, approximately 1 million square foot manufacturing ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Values Based * Learning on the Fly * Action Oriented * Listening * Personal Learning This post is ... machine operations. 2+ Years Demonstrated ability to learn communicate verbally and in writing and ...

Showing results 21-40

Physics Based Machine Learning information

See Indianapolis, IN salary details

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

As of Sep 3, 2026, the average hourly pay for physics based machine learning in Indianapolis, IN is $19.18, according to ZipRecruiter salary data. Most workers in this role earn between $11.97 and $24.38 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 are popular job titles related to Physics Based Machine Learning jobs in Indianapolis, IN?

For Physics Based Machine Learning jobs in Indianapolis, IN, the most frequently searched job titles are:

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Cities near Indianapolis, IN with the most Physics Based Machine Learning job openings:

Infographic showing various Physics Based Machine Learning job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $39,889 per year, or $19.2 per hour.

Enterprise Data Architect Internship

Toyota Material Handling

Columbus, IN • On-site

$20 - $30/hr

Full-time, Internship

Posted 6 days ago


Toyota Material Handling rating

8.0

Company rating: 8.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

179th of 495 rated machine equipment manufacturers


Job description

Join our Team as an Enterprise Data Architecture Intern!

The Role:

We're seeking a motivated Enterprise Data Architecture Intern to join our team for Summer 2027! This internship offers hands-on experience in enterprise data architecture, analytics, artificial intelligence, machine learning, Internet of Things technologies, and modern data platforms.

You'll work on meaningful projects that help shape how TMHNA collects, integrates, governs, visualizes, and uses data. Based on your technical background and interests, you'll have the opportunity to work on projects involving data architecture, data integration, telematics and Internet of Things data, data quality and governance, artificial intelligence and machine learning, or architecture visualization.

You'll collaborate with architects, engineers, analysts, and business stakeholders while gaining real-world experience with modern enterprise technology and data practices. Throughout the summer, you'll have the opportunity to deliver a tangible project, prototype, assessment, or solution that makes an impact on the business.

What You'll Be Doing:

  • Evaluate and document enterprise data sources, systems, integrations, and data flows while identifying opportunities to improve how data is collected and used.
  • Support the design and development of data architecture solutions, including data integration, data products, data pipelines, and cloud-based technologies.
  • Analyze Internet of Things and telematics data to identify opportunities for operational and business insights.
  • Support data governance, quality, documentation, and visualization initiatives, including data catalogs, data dictionaries, data lineage, and architecture diagrams.
  • Explore and develop proof-of-concept solutions involving artificial intelligence, machine learning, advanced analytics, and emerging data technologies.
  • Collaborate with architects, engineers, analysts, and business stakeholders to translate complex technical information into practical solutions and clear visualizations.

What We're Looking For:

  • Cumulative GPA of at least 3.0.
  • Currently enrolled in a bachelor's or master's degree program in Computer Science, Data Science, Data Engineering, Information Systems, Computer Engineering, Electrical Engineering, Business Analytics, or a related technical field.
  • Available to work full-time onsite for the duration of the Summer 2027 internship.
  • Strong analytical and problem-solving skills.
  • Interest in enterprise data, analytics, architecture, artificial intelligence, machine learning, Internet of Things technologies, or emerging technologies.

What Sets You Apart:

  • Experience or coursework involving Python, SQL, databases, cloud technologies, application programming interfaces, data visualization, data modeling, Git, artificial intelligence, machine learning, or Internet of Things technologies.
  • Exposure to data pipelines, data integration, data engineering, or cloud platforms.
  • Experience creating technical diagrams, dashboards, or other data visualizations.
  • Strong written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
  • Eagerness to learn unfamiliar technologies and take on new challenges.
  • Ability to work independently while collaborating effectively with a diverse team.

Where and When You'll Work:

  • Enjoy the best of both worlds with a hybrid schedule-collaborate in person at our Columbus, IN or Greene, NY office and work remotely Thursdays and Fridays.

What You'll Get in Return:

Wage - $20.00 - $30.00+ per hour. Compensation depends on the selected candidate's education and experience.

Early Career Benefits:

  • Paid Housing (furnishings, utilities, & Wi-Fi included) - eligibility limited to employees residing 50+ miles outside the work location
  • Hands-On Experience in IT Architecture
  • Mentorship from Experienced Professionals
  • Direct Exposure to Senior Leadership & Executive Team
  • Company-Sponsored Events & Intern Socials
  • Paid Community Service Hours
  • Onsite Fitness Center & Occupational Health Clinic
  • Mental Health Advocate Services
  • Best in class work culture!

Big Name | Big Opportunities | Life is Better at Toyota

Toyota Material Handling North America (TMHNA), the industry leader in forklift sales, comprises two main brands: Toyota Material Handling and The Raymond Corporation. We believe investing in the best people, products, and processes will fuel our future success, and we will always be driven by our foundational principles of "respect for people" and "continuous improvement". With opportunities across North America, we are confident you will find the right position within TMHNA that can help you build a long, fulfilling career.

Learn more here: https://www.toyotaforklift.com/careers https://careers.raymondcorp.com/careers

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