Prognostics Engineer: ML, RUL & Diagnostics (Hybrid)

Pro Staff; Dearborn (MI); Hybrid; USD 55,104 - 61,992; Full time

Benefits offered by this job

Medical, dental, vision, and pet insur

401(k) Retirement Savings Plan

Employee Assistance Program (EAP)

Commuter/Parking Accounts

Health Savings Account (HSA)

AD&D Insurance

Job summary

Pro Staff is hiring a Prognostics Research Engineer in Dearborn, MI. The role combines data science, ML, and predictive analytics to develop next-generation vehicle diagnostics and prognostic technologies for smarter connected vehicle experiences.

The ideal candidate holds a Master’s or PhD, 4+ years in statistical analysis or ML, and 3+ years with Python/SQL and cloud analytics. Strong coding in C++, MATLAB, and Simulink is preferred.

Qualifications

• Master’s Degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field required
• PhD preferred
• 4+ years of experience applying statistical analysis, machine learning, or predictive modeling techniques
• 3+ years of experience with Python, SQL, and cloud-based analytics platforms
• Experience with C++, MATLAB, Simulink, DSP, sensor processing, embedded controls, and diagnostics systems
• Knowledge of machine learning, causal inference, PCA, ANOVA, clustering, neural networks, and time-series analytics preferred
• Strong communication, analytical, and problem-solving skills

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
• Support signal processing and multi-sensor diagnostic systems
• Translate algorithms into optimized C++ code for embedded systems
• Validate solutions through simulation, testing, and production implementation
• Collaborate with engineering and subject matter experts across multiple disciplines

Job description

Pro Staff is hiring a Prognostics Research Engineer in Dearborn, MI. The role combines data science, ML, and predictive analytics to develop next-generation vehicle diagnostics and prognostic technologies for smarter connected vehicle experiences.

The ideal candidate holds a Master’s or PhD, 4+ years in statistical analysis or ML, and 3+ years with Python/SQL and cloud analytics. Strong coding in C++, MATLAB, and Simulink is preferred.