Junior Machine Learning Engineer

Rolls-Royce; Indianapolis (IN); Hybrid; USD 66,000 - 108,000; Full time

Job summary

Rolls-Royce is seeking a Junior Machine Learning Engineer in Indianapolis, IN for a hybrid role (3 days on site). The position focuses on AI/ML, software development, and data science to build and deploy tools delivering insights for Rolls-Royce products.

The candidate will work with multi‑disciplinary teams to address opportunities, clean data from sensors and fleets, and validate ML models for reliable production support and predictive maintenance.

Qualifications

• US citizenship is required for this opportunity.
• Bachelor’s degree in Engineering, Chemistry, CS, IT, Mathematics or Physics.
• Advanced degrees preferred as listed (Master/PhD).

Responsibilities

• Collaborate with IT and RR engineering teams on digital technology opportunities.
• Clean, analyze and interpret large datasets from engines and test rigs.
• Build, train and validate ML models for knowledge search, anomaly research, and predictive maintenance.
• Document work clearly and present findings to technical and non‑technical audiences.

Skills

Machine Learning experience

Software development

Generative AI/Agentic AI

Education

Bachelor’s degree in Engineering/CS/IT/Physics/Math

Master’s degree in Engineering/CS/IT/Math/Physics

PhD in Engineering/CS/Math/IT/Physics

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.

Infinite Potential

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.

Closing Date: October 5, 2026

Job Category

Mechanical Systems

Job Posting Date

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:

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.