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Machine Learning Biomedical Engineer Jobs in Ashtabula, OH

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Machine Learning Biomedical Engineer information

See Ashtabula, OH salary details

$28.7K

$117.3K

$176.3K

How much do machine learning biomedical engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning biomedical engineer in Ashtabula, OH is $117,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $141,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Biomedical Engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

How does a Machine Learning Biomedical Engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What does a Machine Learning Biomedical Engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

Machine Learning Biomedical Engineer jobs near you
Machine Vision System Programmer

Machine Vision System Programmer

Steven Douglas Corp

Concord Township, OH

$80K - $120K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Description

At Steven Douglas Corp (SDC) we design and build custom, automated machines that are used in a wide variety of applications and industries. Our fast-paces, high-tech environment challenges our team to develop unique solutions, pushing automation boundaries and delivering innovative, robust machines. 


A Machine Vision System Programmer at SDC has strong expertise in Keyence and Cognex platforms to lead vision development efforts for advanced automation projects. 


Why Join SDC?

  • Cutting Edge Technology: Develop and deploy advanced machine vision solutions used for inspection, measurement, alignment, and quality verification.  
  • Collaborative Environment: Work closely with our sales, project management, and engineering teams to ensure seamless design integration and execution. 
  • Family-Owned Culture: Experience a supportive and agile environment that values technical excellence and personal growth.


What You'll Do:


Vision System Development

  • Design, develop, and implement industrial machine vision solutions for automated inspection, measurement, and part verification.
  • Program and configure Keyence (IV, XG, CV, VS, LumiTrax, etc.) and Cognex (In-Sight, VisionPro, Designer) systems.
  • Create robust lighting, lensing, and image acquisition strategies for varying part types and environments.
  • Develop advanced tools such as pattern recognition, OCR/OCV, blob analysis, edge detection, and 2D/3D measurement.
  • Integrate vision systems with PLCs, robots, motion controllers, and HMIs.


Automation Integration

  • Collaborate with electrical and controls engineers to define system requirements.
  • Develop communication interfaces using Ethernet/IP, Profinet, TCP/IP, serial, and vendor-specific protocols.
  • Support robotic guidance applications, including calibration, coordinate transformation, and high-precision alignment.


Testing, Debug, & Support

  • Perform in-house testing, system calibration, troubleshooting, and optimization.
  • Support machine assembly, debug, FAT/SAT activities, and customer training.
  • Diagnose image reliability issues caused by lighting, reflectivity, vibration, or mechanical variation.


Project Execution

  • Document system settings, vision logic, best practices, and work instructions.
  • Manage assigned tasks to stay on schedule and support successful project delivery.


Requirements

What We're Looking For:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Automation Technology, or related discipline.
  • 5+ years of experience in industrial automation, with 5+ years focused on machine vision systems.
  • Proven, hands-on expertise with: 
  • Keyence vision platforms (IV, XG, CV, VS, or similar)
  • Cognex vision platforms (In-Sight, VisionPro, Spreadsheet or Designer environments)
  • Vision lighting, lensing, cameras, optics, and image acquisition fundamentals
  • Experience integrating vision systems into PLC-driven automation.


Preferred Skills

  • PLC/HMI familiarity (Allen-Bradley preferred)
  • Robotic programming (Fanuc, Epson, ABB, Universal Robots)
  • Motion control and servo applications
  • Experience using AutoCAD, SolidWorks, or related tools
  • Strong analytical, problem-solving, and communication skills
  • Ability to travel up to 10%


What We Offer:

SDC offers a comprehensive benefits package, including:

  • Competitive salary and performance-based incentives.
  • 100% employer-covered medical, dental, and vision insurance with supplemental insurance options.
  • Paid vacation, sick leave, and 10 company-paid holidays.
  • 401(k) plan with a 4% employer match per pay period.
  • Company-sponsored Health Savings Account (HSA) and Employee Assistance Program (EAP).


You'll have the opportunity to work on a variety of exciting and challenging projects across industries, keeping your work engaging and impactful. Our company culture is built on integrity, respect, continuous learning, innovation, and teamwork, creating an environment where employees can thrive both personally and professionally. www.sdcautomation.com


Steven Douglas Corp is an equal-opportunity employer committed to fostering an inclusive and innovative workplace.


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