Prognostics Research Engineer

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

Embedded controls

Job description

Now Hiring: Prognostics Research Engineer

Location: Dearborn, MI

Pay Rate: $42.31/hour

Schedule: Hybrid position, 4 days per week in the office

Are you passionate about using data science, machine learning, and predictive analytics to solve complex engineering challenges? Join an innovative team developing next-generation vehicle diagnostics and prognostic technologies that help predict component health, improve reliability, and create smarter connected vehicle experiences.

Education Requirements

• Master's Degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field required
• PhD preferred

Experience Requirements

• 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

Job Duties

• 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

Physical Capabilities

• Ability to work in an office and engineering environment
• Frequent computer and analytical work

Employee Benefits

• Medical, dental, vision, and pet insurance
• 401(k) Retirement Savings Plan
• Employee Assistance Program (EAP)
• Commuter/Parking Accounts
• People Perks
• Health Savings Account (HSA)
• AD&D Insurance

What You'll Do

Transform complex data into actionable insights, develop cutting-edge prognostic solutions, and help drive the future of predictive engineering through advanced analytics, machine learning, and software development.

About Us

Advantage Technical connects top- talent in technology, engineering, and technical fields with forward-looking companies.

Advantage Technical is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Advantage Technical offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Advantage Technical is an E-Verify employer. See our Privacy Notice for Candidates and Employees/Contractors at https://smgroupna.com/privacy-notice-for-candidates-and-employees-contractors.