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Machine Learning Biomedical Engineer Jobs in Flint, MI

Technician 1 (3rd Shift)

Lake Orion, MI · On-site

$15.25 - $20/hr

In this role, you will be responsible for the set up and monitoring of the Coating Machines. The ... Tuition reimbursement and internal education resources to satisfy your love of learning so you can ...

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Showing results 1-20

Machine Learning Biomedical Engineer information

See Flint, MI salary details

$30.6K

$125.3K

$188.2K

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

As of Jun 11, 2026, the average yearly pay for machine learning biomedical engineer in Flint, MI is $125,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,800.00 per year, depending on experience, location, and employer.

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 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 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 cities near Flint, MI are hiring for Machine Learning Biomedical Engineer jobs? Cities near Flint, MI with the most Machine Learning Biomedical Engineer job openings:
Infographic showing various Machine Learning Biomedical Engineer job openings in Flint, MI as of June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,260 per year, or $60.2 per hour.
Computer Aided Design and Drafting (CADD) Instructor (part-time)

Computer Aided Design and Drafting (CADD) Instructor (part-time)

Mott Community College

Flint, MI • On-site

Full-time, Part-time

Posted 4 days ago


Job description

Posting Details
This is a position we anticipate filling for future semesters. Specific part-time teaching needs for future semesters may not be known until the end of class registration.
Position Information
Posting Number
49-2011
Position Title
Computer Aided Design and Drafting (CADD) Instructor (part-time)
Employee Group
PT Faculty
Starting Salary
$1,124 per contact hour
Compensation Details
To view the benefits summary, go to:
Part Time Faculty Benefits
Position Summary Information
Position Summary
Purpose, Scope & Dimension of Job: Faculty facilitate student learning and initiate and participate in efforts to consistently improve the level of student success. As learning facilitators, faculty consistently assess learning outcomes and their own teaching effectiveness (pedagogy). As professionals, faculty adhere to the ethical standards of their profession as outlined, for example, by the NEA and the State of Michigan. Where applicable, faculty maintain licensure and certifications.
Specific Teaching Assignment:
Faculty member will be responsible for teaching classes in Computer Aided Design and Drafting
Minimum Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
1. Bachelor's Degree or higher in Computer Aided Design, Applied Science, Industrial/Technical, Mechanical Engineering or related degree with 30 credit hours in Computer Aided Design & Drafting specialty courses from an accredited institution.
2. Two (2) years work experience in the field of design and/or engineering, directly involved with the application of CAD tools to create products, structures, machines, or tooling.
3. Professional experience with CATIA.
4. Understanding of and commitment to community college teaching, mission and philosophy.
5. Innovative, flexible and positive teaching style and understanding the needs of students from diverse backgrounds.
6. Language Skills: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
7. Mathematical Skills: Ability to apply concepts such as fractions percentages, ratios, and proportions to practical situations. Ability to work with mathematical concepts such as probability and statistical inference.
8. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form.
9. Technology Skills: Ability to integrate computer applications into teaching.
10. Other Skills and Abilities: Ability to apply knowledge of current research and theory to instructional program; ability to plan and implement lessons based on division and college objectives and the needs and abilities of students to whom assigned. Ability to establish and maintain collegial relationships with students, peers, staff, and administrators; skill in oral and written communication.
A foreign degree must be certified, at the candidate's expense, by a professional evaluation service.
Additional Desirable Qualifications
1. Professional experience with Software packages including Unigraphics, SolidWorks, and AutoCad.
2. Master's degree in related field.
3. Certification in CADD software packages.
4. College teaching experience.
5. Familiarity with the use of competency based modularized courseware, and instruction.
Physical Requirements/Working Conditions
1. The employee must be able to move about 2/3 of the time and be stationary about 1/3 of the time. S/he is required to be mobile around campus for participant involvement/activities.
2. S/he must be able to converse with individuals on a regular basis with the ability to read, analyze, and interpret their needs via phone conversations, face-to-face conversations, or written documentation.
3. The employee must be able to utilize all programs on a computer independently and efficiently (particularly the internet, Word, and the student database).
4. S/he must be able to present information in an instructional setting and respond to questions from groups.
5. The employee must be able to lift and move objects of 50 pounds.
6. If applicable, must be able to tolerate frequent exposure to a wide variety of chemicals which are common to the industry. Must be able to handle and mix chemicals properly and safely; and wear appropriate personal protective equipment.
Work Schedule
While part-time faculty are not required to hold regular office hours during the semesters they teach, they are required to make provisions for student consultations as may be necessary and reasonable.
Additional Information
Must be available to teach onsite; opportunities do not exist to teach online courses only.
If selected for an interview, candidates may need to provide a professional portfolio. Specific instructions will be shared prior to the interview.
Visa sponsorship is not available.
Selected candidates must submit to a drug test and criminal background check.
Additional Application Deadline Information
The College reserves the right to close the recruitment process once a sufficient applicant pool has been identified.
Application Deadline
Continuously accepting applications
Equal Opportunity Summary
As an equal opportunity institution, the College encourages diversity and provides equal opportunity in education, employment, all of its programs, and the use of its facilities. The College does not discriminate in educational or employment opportunities or practices on the basis of race, sex, color, religion, gender, national origin, veteran's status, age, disability unrelated to an individual's ability to perform adequately, sexual orientation, or any other characteristic protected by law. Title IX Coordinator Contact Information: 1401 E. Court St., Prahl College Center (PCC- 2030G), Flint, MI 48503, (810) 762-0024. Title II, ADA, Coordinator Contact Information: 1401 E. Court St., Curtice-Mott Complex (CM-1024), Flint, MI 48503, (810) 762-0373. Section 504 Coordinator Contact Information: 1401 E. Court St., Prahl College Center (PCC- 1130), Flint, MI 48503, (810) 762-0191.