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Machine Learning Biomedical Engineer Jobs in Utah

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

$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 ...

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 ...

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 ...

Senior Machine Learning Engineer

Sandy, UT · On-site

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

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 cities in Utah are hiring for Machine Learning Biomedical Engineer jobs?

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

Senior Machine Learning Engineer

Limelight Health

South Jordan, UT • On-site

$110 - $140/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Location

Tysons Corner, VA; South Jordan, UT

Employment Type

Full time

Department

Technology

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting‑edge AI and proprietary methodologies, we transform open‑source data into actionable insights that help protect technology, talent, and supply chains from nation‑state risks.

We’re looking for a Senior Machine Learning Engineer to help Strider unlock value from large‑scale document collections. In this role, you’ll build production‑ready AI/ML systems for document classification, prioritization, and other document‑processing workflows. Your work will directly support the development of scalable intelligence products that help users find meaningful signals in complex, high‑volume data.

You’ll work with real‑world data and collaborate closely with intelligence and engineering teams to turn complex multilingual information into actionable insights. This role is a strong fit for someone who enjoys technical ownership, builds maintainable systems, and excels at translating ambiguity into measurable product impact.

You will:
  • Design, build, and maintain scalable machine learning solutions, typically focused on document classification tasks using AI/ML models.
  • Work across the full engineering lifecycle from exploratory analysis and prototype development through production deployment, monitoring, iteration, and operational ownership.
  • Take models from R&D into production and deploy them using AWS cloud services.
  • Ensure the reliability and performance of machine learning applications by carrying out continuous testing and optimization.
  • Use AI coding tools such as Cursor and Claude to improve development velocity while maintaining high standards for code quality, reliability, and maintainability.
  • Participate in design reviews, code reviews, and team discussions, providing technical leadership and insight.
What you need to be successful:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in Machine Learning or AI.
  • Strong Python skills and sound software engineering judgment, with the ability to write maintainable, production‑oriented code.
  • Experience working with large, complex datasets to assess quality, coverage, value, and tradeoffs.
  • Experience deploying and operating ML or data‑processing pipelines in production environments using AWS.
  • Strong understanding of NLP techniques such as tokenization, entity extraction, disambiguation, and language models.
  • Strong communication skills, with the ability to explain complex technical concepts to engineering partners, product stakeholders, and leadership.
  • Self‑motivated, pragmatic, and impact‑oriented, with strong problem‑solving skills and attention to detail.
Nice-to-haves:
  • Strong AWS skills.
  • Experience with Elasticsearch.
  • Experience working with NLP in foreign (non‑English) languages.
  • Familiarity with MLOps tools and practices.
  • Experience with PyTorch or Scikit‑Learn.
  • Master’s degree or PhD in Computer Science, Engineering, or related field.
Benefits:
  • Competitive Compensation
  • Company Equity Options
  • Flexible PTO
  • Wellness Reimbursement
  • US Holidays (office closed)
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Insurance
  • 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

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