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Machine Learning Biomedical Engineer Jobs in Utica, MI

Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...

Senior AI Engineer

Farmington Hills, MI ยท On-site

$140 - $210/hr

Design, develop, and deploy AI and machine learning solutions that address business and engineering use cases. * Build and optimize generative AI applications, including chatbots, document ...

Showing results 41-60

Machine Learning Biomedical Engineer information

See Utica, MI salary details

$28.7K

$117.5K

$176.5K

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

As of Aug 15, 2026, the average yearly pay for machine learning biomedical engineer in Utica, MI is $117,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,600.00 and $141,400.00 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 Utica, MI are hiring for Machine Learning Biomedical Engineer jobs?

Cities near Utica, MI with the most Machine Learning Biomedical Engineer job openings:

Infographic showing various Machine Learning Biomedical Engineer job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $117,475 per year, or $56.5 per hour.

Machine Learning Engineer, App SW

Icehouseventures

Detroit, MI โ€ข On-site

$283.50 - $381.60/hr

Other

Posted 10 days ago


Job description

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardwareโ€‘agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fastโ€‘paced environment big problems ignite usโ€”we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

As an ML Engineer within the Application Engineering team, youโ€™ll lead critical initiatives that push the frontier of modelโ€‘based autonomous drivingโ€”both in terms of core driving performance and featureโ€‘level intelligence such as personalisation, comfort, and collaboration.

Youโ€™ll design and deliver MLโ€‘driven behaviors that scale from assisted to autonomous driving. Your work will span across model architecture, data pipelines, evaluation frameworks, and realโ€‘world deployment. Youโ€™ll collaborate deeply with AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable, and ready for production.

Responsibilities:
  • Develop and improve endโ€‘toโ€‘end driving models with stateโ€‘ofโ€‘theโ€‘art performance, robustness, and generalization.
  • Lead projects on personalised and collaborative driving, including behavior conditioning, comfort tuning, and user alignment.
  • Build evaluation pipelines and metrics for both closedโ€‘loop and openโ€‘loop driving performance and product readiness.
  • Curate and mine realโ€‘world and synthetic data to drive scenario diversity, coverage, and featureโ€‘specific development.
  • Influence architecture choices, training methodologies, and deployment pathways for productionโ€‘scale learning systems.
  • Collaborate crossโ€‘functionally across various teams to ensure integration and iteration velocity.
  • Mentor senior engineers and shape the longโ€‘term technical direction across Autonomy.
About you:

In order to set you up for success as a Machine Learning Engineer at Wayve, weโ€™re looking for the following skills and experience.

Essential
  • Extensive and proven track record of shipping deep learning systems to production.
  • Expert in deep learning (esp. sequential models, control, planning, or perception).
  • Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices.
  • Experience with realโ€‘time systems or robotics, ideally with simulationโ€‘or vehicleโ€‘inโ€‘theโ€‘loop components.
  • Ability to lead technical initiatives across teams, drive alignment, and mentor engineers.
Desirable
  • Prior work in autonomous driving, imitation learning, or trajectory prediction.
  • Familiarity with personalization, human behavior modeling, or driver intent inference.
  • Experience integrating ML systems into production hardware or multiโ€‘agent simulation.

This role is a fullโ€‘time role based in Sunnyvale or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $283,500 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

#LIโ€‘KM1

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If youโ€™re passionate about selfโ€‘driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and nonโ€‘discriminatory.

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