Senior Applied ML Engineer (Physics-Informed AI)

Collins Aerospace; Troy (OH); On-site; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

3 weeks of vacation for newly hired

401(k) with employer match

Tuition reimbursement

Student Loan Repayment Program

Life insurance and disability coverage

Employee Assistance Program

Job summary

Collins Aerospace in Troy, OH is seeking a Senior Applied Machine Learning Engineer to lead data-driven and physics-informed modeling for wheels and brakes. You will develop, train, and validate ML models across multidisciplinary domains including performance, structural, thermal, and vibration.

You will mentor engineers, define validation criteria, and present findings to internal and external customers while collaborating with design, reliability, service, and manufacturing teams.

Qualifications

• Degree in Mechanical Engineering or equivalent, with 5+ years of experience or an advanced degree with 3+ years.
• Expertise in data analytics workflows, statistics, and engineering data interpretation.
• Advanced knowledge of ML concepts with experience deploying and validating models for prediction, classification and anomaly detection.
• Deep understanding of mechanical engineering principles including structural behavior, dynamics, and thermal concepts.

Responsibilities

• Drive development, training and validation of data-driven and physics-informed ML models for wheels and brakes.
• Define and standardize validation approaches and performance metrics across programs.
• Develop and implement best practices for data curation, cleaning and analytics workflows.
• Mentor engineers on data analytics and ML methodologies to foster technical growth.

Skills

Data analytics

ML concepts

Python

NumPy/Pandas

Anomaly detection

Education

Mechanical Engineering degree

Advanced degree in related field

Tools

Python

TensorFlow

Scikit-learn

PySpark

Job description

Collins Aerospace in Troy, OH is seeking a Senior Applied Machine Learning Engineer to lead data-driven and physics-informed modeling for wheels and brakes. You will develop, train, and validate ML models across multidisciplinary domains including performance, structural, thermal, and vibration.

You will mentor engineers, define validation criteria, and present findings to internal and external customers while collaborating with design, reliability, service, and manufacturing teams.