Junior Machine Learning Engineer
Indianapolis
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- Pay
$66,306–107,747Pay period needs review · Location-specific pay — pay source
Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $66,306 - $107,747-Annually Location: Indianapolis, IN Benefits
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- Employment
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What you’ll work on
Full postingAs a Rolls-Royce Product Definition Engineer your main task will be to produce and (where adequate capability has been demonstrated) check Component definitions (such as Model Based Definitions - MBDs) in line with Engineering Standards to meet design intent, satisfying fit, form and function of the component while optimizing for manufacture.
Work with IT, and Rolls-Royce engineering teams address key opportunities for application of digital technologies providing optimal impact and value.
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.
From the employer’s posting
As a Rolls-Royce Product Definition Engineer your main task will be to produce and (where adequate capability has been demonstrated) check Component definitions (such as Model Based Definitions - MBDs) in line with Engineering Standards to meet design intent, satisfying fit, form and function of the component while optimizing for manufacture.
We’re looking for a Junior 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. Work with IT, and Rolls-Royce 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.
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.
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. Basic Requirements:
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology,
Preferred experience
- 1+ years of Machine Learning experience which can include internships
- 29 Sep 2026; 00:09 Pay Range
- Experience or interest in modern software development methodologies and coding languages
- Experience or interest in developing solutions in surrogate modelling, Generative AI, or Agentic AI
Qualification wording
Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology,
1+ years of Machine Learning experience which can include internships
29 Sep 2026; 00:09 Pay Range
Experience or interest in modern software development methodologies and coding languages
Experience or interest in developing solutions in surrogate modelling, Generative AI, or Agentic AI
Job description
Job Description
Job Title: Junior Machine Learning Engineer
Working Pattern: Full time
Working location: Indianapolis, IN. (Hybrid: 3 days on site)
Relocation assistance will be provided if applicable.
Why Rolls-Royce?
At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere.
By joining Rolls-Royce, you’ll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first.
You’ll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it’s your chance to really shine and contribute to one of the world’s most recognized brands and a beacon for engineering excellence
Position Summary
As a Rolls-Royce Product Definition Engineer your main task will be to produce and (where adequate capability has been demonstrated) check Component definitions (such as Model Based Definitions - MBDs) in line with Engineering Standards to meet design intent, satisfying fit, form and function of the component while optimizing for manufacture.
What you will be doing
We’re looking for a Junior 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.
- Work with IT, and Rolls-Royce 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.
Basic Requirements:
- Bachelor’s degree in Engineering, Chemistry, Computer Science, Information Technology,
- Mathematics, Physics; OR
- Masters degree in Engineering, Chemistry, Computer Science, Information Technology,
- Mathematics, Physics, OR
- PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics,
- Physics.
- In order to be considered for this opportunity, you must be a US Citizen
Preferred Requirements:
- 1+ years of Machine Learning experience which can include internships
- Experience or interest in modern software development methodologies and coding languages
- Experience or interest in developing solutions in surrogate modelling, Generative AI, or Agentic AI
- Technical and soft skills that include; systems thinking aptitude, communications, time management, and collaboration across multi-disciplinary teams.
- Interest in problem-solving and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
- Aspire to actively learn and dynamically respond to evolving objectives and emerging opportunities.
Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It’s a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you’re driven to grow, to learn, and to make a lasting difference, this is where you belong.
Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive.
Infinite Potential
Closing Date: October 5, 2026
Job Category
Job Posting Date
Pay Range
Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range.
$66,306 - $107,747-Annually
Location:
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.
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- Pay
Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $66,306 - $107,747-Annually Location: Indianapolis, IN Benefits
- Location & working pattern
Indianapolis
Working Pattern: Full time Working location: Indianapolis, IN. (Hybrid: 3 days on site) Relocation assistance will be provided if applicable.
More source context
29 Sep 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $66,306 - $107,747-Annually Location:
- Work authorization
- Physics. - In order to be considered for this opportunity, you must be a US Citizen Preferred Requirements:
- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Sep 29, 2026
- Recorded sightings
- 21
- Last seen by us
- Oct 4, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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