Hybrid Junior Machine Learning Engineer – Indianapolis

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

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.