ZipRecruiter

Log In

1

Neural Signal Processing Jobs in Michigan (NOW HIRING)

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

Signal Processing (DSP) * Predictive Analytics & Prognostics Required Qualifications * Master ... Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Stay ahead of industry advancements in machine learning, AI sensing, and signal processing ... White-box understanding of classical ML algorithms (SVMs, HMMs, Decision Trees) and modern neural ...

All JobsNeural Signal Processing JobsNeural Signal Processing Jobs in Michigan

Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What are the key skills and qualifications needed to thrive as a neural signal processing specialist?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.

What are popular job titles related to Neural Signal Processing jobs in Michigan?

For Neural Signal Processing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Neural Signal Processing jobs in Michigan look for?

The top searched job categories for Neural Signal Processing jobs in Michigan are:

What cities in Michigan are hiring for Neural Signal Processing jobs?

Cities in Michigan with the most Neural Signal Processing job openings:

Neural Signal Processing jobs near you
Infographic showing various Neural Signal Processing job openings in Michigan as of June 2026, with employment types broken down into 43% Full Time, 48% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Scientist-Research Engineer (ML)

OpTech

Dearborn, MI • On-site

Other

Posted 10 days ago

Job description

Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

  • Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
  • Build machine learning and physics-informed models to analyze component health and degradation.
  • Process and analyze large datasets using Python, SQL, and cloud platforms.
  • Develop fault detection and anomaly detection solutions for vehicle systems.
  • Perform modeling and simulation using MATLAB/Simulink.
  • Collaborate with cross-functional teams to deploy solutions into production vehicles.
  • Support embedded software implementation in C++ environments.

Required Skills

  • Python
  • SQL
  • C++
  • Data Science & Machine Learning
  • MATLAB / Simulink
  • Algorithms & Statistical Analysis
  • Google Cloud Platform (Google Cloud Platform) or other cloud environments
  • Signal Processing (DSP)
  • Predictive Analytics & Prognostics

Required Qualifications

  • Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
  • 4+ years of experience applying statistical and machine learning techniques.
  • 3+ years of experience with Python and SQL.
  • Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • PhD in a related technical field.
  • Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
  • Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
  • Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

Apply