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Machine Learning Biomedical Engineer Jobs in Kansas

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Biomedical Engineering Tutor

Wichita, KS ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Biomedical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have ...

... machines, anesthesia machines, operating room equipment) and diagnostic imaging systems various ... Associate's degree in Biomedical Engineering Technology, Electronics Technology, or equivalent ...

Biomedical Imaging Engineer

Topeka, KS ยท On-site

$33 - $41/hr

... machines, anesthesia machines, operating room equipment) and diagnostic imaging systems various ... Associate's degree in Biomedical Engineering Technology, Electronics Technology, or equivalent ...

Biomedical Imaging Engineer

Topeka, KS ยท On-site

$33 - $41/hr

... machines, anesthesia machines, operating room equipment) and diagnostic imaging systems various ... Associate's degree in Biomedical Engineering Technology, Electronics Technology, or equivalent ...

Showing results 21-40

Machine Learning Biomedical Engineer information

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.

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 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.

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.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Kansas?

For Machine Learning Biomedical Engineer jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Machine Learning Biomedical Engineer jobs?

Cities in Kansas with the most Machine Learning Biomedical Engineer job openings:

Research Engineer - Machine Learning & Robotics

Jumio Corporation

Lenexa, KS โ€ข On-site

Full-time

Re-posted 23 days ago


Job description

Job Summary:
Jumio Corporation is a B2B technology company dedicated to eradicating online identity fraud and financial crimes. They are seeking a Research Engineer to help build and scale systems for data collection, model development, and product improvement in the fields of machine learning and robotics.
Responsibilities:
โ€ข Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
โ€ข Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
โ€ข Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
โ€ข Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
โ€ข Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
โ€ข Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
โ€ข Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
โ€ข Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
Qualifications:
Required:
โ€ข Bachelorโ€™s or Masterโ€™s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
โ€ข 1โ€“2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
โ€ข Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
โ€ข Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
โ€ข Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
โ€ข Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
โ€ข Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
Preferred:
โ€ข Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
โ€ข Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
โ€ข Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
โ€ข Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
โ€ข Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
โ€ข Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Company:
Jumio helps organizations to know and trust their customers online. Founded in 2010, the company is headquartered in Sunnyvale, USA, with a team of 201-500 employees. The company is currently Growth Stage.