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Machine Learning Biomedical Engineer Jobs in Utah

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

beatBread

AI Engineer

Saint George, UT

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93.70K - $122.90K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93.70K - $122.90K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100.90K - $132.40K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93.70K - $122.90K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Sunwest Bank

AI/ML Engineer

Sandy, UT · On-site

$108.80K - $130.70K/yr

... machine-learning models or AI services aligned with business needs • Support deployment of AI ... programming skills or similar languages • Experience with machine-learning libraries such as ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128.50K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning ...

Crew Career Center

Senior ML Engineer

Lehi, UT

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Epic

Software Engineer

Orem, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Provo, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

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Machine Learning Biomedical Engineer information

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.

What are popular job titles related to Machine Learning Biomedical Engineer jobs in Utah? For Machine Learning Biomedical Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Engineer jobs in Utah look for? The top searched job categories for Machine Learning Biomedical Engineer jobs in Utah are:
What cities in Utah are hiring for Machine Learning Biomedical Engineer jobs? Cities in Utah with the most Machine Learning Biomedical Engineer job openings:
Machine Learning Biomedical Engineer jobs near you
Lead Machine Learning Engineer, Marketing Mix Modeling

Lead Machine Learning Engineer, Marketing Mix Modeling

Adobe

Lehi, UT • On-site

Full-time

Posted 3 days ago

Job description

The Opportunity

This role is part of Adobe's Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe's global businesses.

These models are crucial for guiding Adobe's quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering.

What you'lldo

  • Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers

  • Expand our modeling solutions to support a growing number of geographic locations and product groups

  • Integrate additional measurement methodologies and data to ensure accurate measurement of marketing return on investment

  • Balance technical capabilities with practical business needs

  • Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth

  • Communicate model results effectively to partners and executives

  • Continuously improve modeling techniques and capabilities as the analytical landscape evolves

  • Contribute to the overall growth of the team!

Requirements

  • MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field

  • 3-4 years of experience in developing and operationalizing MMM and marketing science solutions

  • Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes

  • Experience with experimentation/causal inference methods

  • Experience in deploying models from development to production environments

  • Proficiency in ML programming languages like Python, R, etc. and data querying languages (e.g. SQL)

  • Experience with cloud platforms for scalable model training and deployment

  • Ability to balance practical business needs with technical possibilities

  • Strong communication skills and the ability to explain technical terms to business stakeholders

  • Ability to build positive working relationships and collaborate in cross-functional teams

  • A curious mind, passion, and motivation to learn new skills, tools, and techniques!

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $151,800 -- $265,350 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350 In New York, the pay range for this position is $183,300 - $265,350

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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