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Physics Informed Machine Learning Jobs in Indiana

AI Solutions Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... or Physics, or equivalent experience * 8+ years of experience in product sales, software ...

Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ... informed outputs). Required Qualifications: * Must have an active Top-Secret security clearance and ...

Bachelor's degree linked to data analytics (e.g., math, physics, computer science) OR problem set ... Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be ...

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 ...

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 ...

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 ...

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 ...

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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 cities in Indiana are hiring for Physics Informed Machine Learning jobs? Cities in Indiana with the most Physics Informed Machine Learning job openings:
Infographic showing various Physics Informed Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Machine Learning Engineer

Machine Learning Engineer

Rolls-Royce

Indianapolis, IN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

24th of 427 rated machine equipment manufacturers


Job description


Job Description

Job Title: Machine Learning Engineer

Working Pattern: Full-time

Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum)

We're looking for a Machine Learning Engineer to join our growing team. In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science. You'll be part of a multi-disciplinary team, working together to tackle technical challenges in a stimulating and collaborative environment. In this role, your focus will be on building and deploying tools to deliver insights on Rolls-Royce products.

Why Rolls-Royce?

Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount.

We are proud to be a force for progress, powering, protecting and connecting people everywhere.

We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey.

Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive.

Be part of a team that sets the industry standard and drives groundbreaking solutions.

At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference.

Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.

What you will be doing

With this attractive opportunity you will get a chance to:

Work with IT, and Rolls-Royce Fleet engineering teams address key opportunities for application of digital technologies providing optimal impact and value.
Understand, clean, and analyze large datasets from engine sensors, test rigs, and fleet operations.
Build, train, and validate machine learning models for tasks such as searching engineering knowledge, anomaly research, production support, and predictive maintenance.
Document your work clearly and present findings to both technical and non-technical audiences.

Who we're looking for:

At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.

Basic Requirements:

  • Bachelor's degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics with 2+ years of machine learning experience; OR
  • Masters degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics, OR
  • PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Data Science or Physics.
  • In order to be eligible for consideration, you must be a U.S. Citizen

Preferred Requirements:

  • 3+ years of machine learning experience
  • Experience in accelerating product design and delivering impactful digital products
  • Experience with modern software development methodologies and coding languages
  • Experience developing solutions in surrogate modelling, Generative AI, or Agentic AI
  • Excellent technical and soft skills including systems thinking aptitude, communications, time management, business acumen, and collaboration across multi-disciplinary teams.
  • Strong problem-solving instincts and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
  • Experience with mentoring and educating other members of the team. Actively learn, develop, apply, and share recently gained knowledge and skills in this face-paced and dynamic discipline.

What we offer

We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.

Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement.

As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.

For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.

Relocation assistance is available for this position.

Grade Level: GG10

Closing date: July 9th, 2026


Job Category
Mechanical Systems

Job Posting Date
02 Jul 2026; 00:07

Pay Range
$98,566 - $160,169-Annually


Location:

Indianapolis, IN


Benefits

Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.


What Rolls-Royce employees say

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