Prognostics Research Engineer — Predictive ML & Diagnostics

Advantage Technical; Dearborn (MI); Hybrid; USD 55,104 - 61,992; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) Retirement Savings Plan

Employee Assistance Program (EAP)

Commuter/Parking Accounts

Health Savings Account (HSA)

AD&D Insurance

Job summary

Advantage Technical is seeking a Prognostics Research Engineer in Dearborn, MI. The role is hybrid, with pay rate $42.31/hour and a schedule requiring four days per week in the office. You will work on data science, machine learning, and predictive analytics for vehicle diagnostics and prognostics.

Required education includes a Master’s degree (PhD preferred). Candidates should have 4+ years in statistical analysis or ML, 3+ years with Python/SQL/cloud analytics, and experience with C++, MATLAB,

Qualifications

• Master's Degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or related field required.
• 4+ years of experience applying statistical analysis, ML, or predictive modeling techniques.
• 3+ years of experience with Python, SQL, and cloud-based analytics platforms.

Responsibilities

• Develop and deploy predictive maintenance and prognostic models.
• Design Remaining Useful Life (RUL) and fault detection algorithms.
• Build machine learning and physics-based hybrid models.
• Analyze large-scale telemetry and sensor data using Python, SQL, and cloud tools.
• Translate algorithms into optimized C++ code for embedded systems.

Skills

Communication

Analytical

Problem-solving

Education

Master's Degree

PhD preferred

Tools

Python

SQL

Cloud-based analytics

C++

MATLAB

Simulink

DSP

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Job description

Advantage Technical is seeking a Prognostics Research Engineer in Dearborn, MI. The role is hybrid, with pay rate $42.31/hour and a schedule requiring four days per week in the office. You will work on data science, machine learning, and predictive analytics for vehicle diagnostics and prognostics.

Required education includes a Master’s degree (PhD preferred). Candidates should have 4+ years in statistical analysis or ML, 3+ years with Python/SQL/cloud analytics, and experience with C++, MATLAB,