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Machine Learning Engineer Principal

The University of Kansas Health System

Mission, Kansas • Today

Full-time

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$150,000 - $170,000

Principal Machine Learning Engineer

iHerb inc

Remote • 9d ago

Full-time

USD 205,000.00 - 230,000.00 per year

Principal ML/AI Engineer

White Cap Supply Holdings, LLC

Remote • Today

Full-time

Principal Machine Learning System Engineer

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 209,700.00 - 273,775.00 per year

Principal Machine Learning Engineer

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 264,000.00 - 330,000.00 per year

Principal Machine Learning Systems Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Principal Machine Learning Engineer

Extreme Networks

Remote or Washington • Today

Full-time

Principal Machine Learning Engineer, YM2026PMLE

FactSet

Remote or Connecticut • Today

Full-time

USD 177,000.00 - 217,000.00 per year

Principal Machine Learning Engineer- AI Context

HubSpot

Remote • Today

Full-time

Senior Principal Machine Learning Engineer

Cotiviti

Remote • Today

Full-time

USD 250,000.00 - 280,000.00 per year

Senior Principal Software Engineer, Machine Learning

Toast

Remote • Today

Full-time

USD 283,000.00 - 453,000.00 per year

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Remote or Redwood City, California • Today

Full-time

USD 260,000.00 - 330,000.00 per year

Principal AI/ML Engineer - Sales Engineer- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Principal AI/ML Research Engineer

WEX Inc

Remote • Today

Full-time

USD 250,300.00 - 289,000.00 per year

Principal Technical Architect - AI/ML

Snowflake Inc.

Remote or New York, New York • Today

Full-time

USD 196,000.00 - 257,200.00 per year

Research Engineer / Robotics / ML

Motion Recruitment Partners, LLC

Lenexa, Kansas • Today

Easy Apply

Full-time

$100000 - $150000

Principal Architect - Applied AI & Machine Learning

3CLoud

Remote • Today

Full-time

USD 176,200.00 - 264,300.00 per year

Staff Machine Learning Engineer

PrizePicks

Remote or Atlanta, Georgia • Today

Full-time

USD 220,000.00 - 280,000.00 per year

Staff Machine Learning Engineer

Workiva

Remote or Ames, Iowa • Today

Full-time

USD 163,000.00 - 261,000.00 per year

Staff Machine Learning Engineer

Shipt

Remote or California • Today

Full-time

USD 137,400.00 - 239,000.00 per year

Staff Machine Learning Engineer

webAI Inc

Remote or Austin, Texas • Today

Full-time

Staff Machine Learning Engineer

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Staff Machine Learning Engineer

Paylocity Corporation

Remote • Today

Full-time

USD 146,600.00 - 209,400.00 per year

Staff Machine Learning Engineer, Applied Research

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 189,308.00 - 389,753.00 per year

Staff Machine Learning Engineer - Leasing

AppFolio, Inc.

Remote or Santa Barbara, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Staff Machine Learning Engineer

Unity Microelectronics Inc.

Remote or California • Today

Full-time

USD 218.00 - 400.00 per day

Senior Staff Machine Learning Engineer

Etsy, Inc

Remote or Brooklyn, New York • Today

Full-time

USD 245,000.00 - 319,000.00 per year

Senior Staff Machine Learning Platform Engineer

Faire

Remote • Today

Full-time

USD 295,000.00 - 405,500.00 per year

Job Details

Skills

Research and Development
Operational Efficiency
Data Engineering
Algorithms
Health Care
Art
Use Cases
Workflow
Artificial Intelligence
Partnership
Innovation
Collaboration
Continuous Improvement
Research
Analytics
Predictive Modelling
Computer Science
Mathematics
Statistics
Economics
Data Mining
Python
R
SQL
RDBMS
Machine Learning (ML)
Unsupervised Learning
Management
Supervised Learning
Natural Language Processing
Orchestration
Docker
Kubernetes
Microsoft Azure
Cloud Computing
Modeling
Business Intelligence
Microsoft Power BI
Business Objects
Tableau
Analytical Skill
Documentation
Jupyter
Epic
Data Modeling
Recruiting
Conflict Resolution
PDF
DRP

Research and Development
Operational Efficiency
Data Engineering
Algorithms
Health Care
Art
Use Cases
Workflow
Artificial Intelligence
Partnership
Innovation
Collaboration
Continuous Improvement
Research
Analytics
Predictive Modelling
Computer Science
Mathematics
Statistics
Economics
Data Mining
Python
R
SQL
RDBMS
Machine Learning (ML)
Unsupervised Learning
Management
Supervised Learning
Natural Language Processing
Orchestration
Docker
Kubernetes
Microsoft Azure
Cloud Computing
Modeling
Business Intelligence
Microsoft Power BI
Business Objects
Tableau
Analytical Skill
Documentation
Jupyter
Epic
Data Modeling
Recruiting
Conflict Resolution
PDF
DRP

Summary

Position Title

Machine Learning Engineer Principal

Broadmoor Campus

Position Summary / Career Interest:
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to advance machine learning applications within a hospital setting. This role is also responsible for developing innovative algorithms and models to improve patient care, operational efficiency, and clinical outcomes. This role requires extensive expertise in machine learning, cloud deployment, and data engineering, with a strong emphasis on applied research and experimentation.

Responsibilities and Essential Job Functions

Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications.
Design and implement experiments to test and validate new machine learning models and techniques, focusing on improving patient care and hospital operations.
Lead methodological research and implementation of methods to adjust for data set shift for healthcare applications
Collaborate with clinical staff, academic institutions, research labs, and industry partners to stay at the cutting edge of machine learning research and its applications in healthcare.
Publish research findings in top-tier conferences and journals, and present at industry events and seminars.
Develop and deploy state-of-the-art machine learning models using iterative development processes, based on statistical approaches and data mining techniques.
Identify and implement the most optimal modeling techniques based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning).
Implement highly efficient automated processes that produce modeling results at scale.
Review current offerings and future developments in artificial intelligence and machine learning and socialize these with key stakeholders to understand needs and potential use cases in the hospital.
Perform validation of machine learning models for accuracy and develop recommendations for enhancements based on localized data, monitor their performance post-implementation, and fine-tune for optimal results.
Create clear documentation of workflows, methodologies used, and assumptions built in for various levels of technical expertise.
Engage in the deployment and integration of predictive models and artificial intelligence into development and production environments within the hospital.
Advance the department's capabilities in technical and analytical areas by proactively building partnerships and collaborating with cross-functional teams.
Contribute to a culture of innovation, collaboration, and continuous improvement by following the latest developments in machine learning research and technology trends.
Able to expertly maintain existing models as well as deployment new models in both Epic and Non-Epic environments
Stay up to date with the latest changes from Epic to their analytics and predictive modeling applications through (e.g.) Nova Notes
Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience

Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent experience)
7 or more years of experience using data mining/analytical methods and associated tools such as Python, R, etc.
7 or more years of experience with SQL in a relational database or an equivalent combination of education and experience
5 or more years of experience with various machine learning methods: unsupervised learning, semi-supervised, supervised learning, as well as anomaly detection, natural language processing and dimensionality reduction
5 or more years of experience with containerization and orchestration tools such as Docker and Kubernetes
5 or more years of experience with cloud computing platforms such as Azure
3 or more years of experience with Nebula, Epic's cloud computing and modeling platform

Preferred Education and Experience

Master's Degree in a related field OR
Doctorate in a related field
Experience working with business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
Experience with analytical documentation tools such as Jupyter Notebook
Experience in a relevant industry or environment

Required Licensure and Certification

Epic certification in 4 data model(s). If not certified, certification is required within 12 months from employment within 1 Year

Time Type:
Full time

Job Requisition ID:
R-52607

Important information for you to know as you apply:

The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link
Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91112270
Position Id: b947d82f13e308ecff990c47d390ce76
Posted 30+ days ago

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Job Details

Skills

Research and Development
Operational Efficiency
Data Engineering
Algorithms
Health Care
Art
Use Cases
Workflow
Artificial Intelligence
Partnership
Innovation
Collaboration
Continuous Improvement
Research
Analytics
Predictive Modelling
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Research and Development
Operational Efficiency
Data Engineering
Algorithms
Health Care
Art
Use Cases
Workflow
Artificial Intelligence
Partnership
Innovation
Collaboration
Continuous Improvement
Research
Analytics
Predictive Modelling
Computer Science
Mathematics
Statistics
Economics
Data Mining
Python
R
SQL
RDBMS
Machine Learning (ML)
Unsupervised Learning
Management
Supervised Learning
Natural Language Processing
Orchestration
Docker
Kubernetes
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Cloud Computing
Modeling
Business Intelligence
Microsoft Power BI
Business Objects
Tableau
Analytical Skill
Documentation
Jupyter
Epic
Data Modeling
Recruiting
Conflict Resolution
PDF
DRP

Summary

Lead and conduct advanced research in machine learning and artificial intelligence to develop novel algorithms and methodologies tailored to healthcare applications.
Design and implement experiments to test and validate new machine learning models and techniques, focusing on improving patient care and hospital operations.
Lead methodological research and implementation of methods to adjust for data set shift for healthcare applications
Collaborate with clinical staff, academic institutions, research labs, and industry partners to stay at the cutting edge of machine learning research and its applications in healthcare.
Publish research findings in top-tier conferences and journals, and present at industry events and seminars.
Develop and deploy state-of-the-art machine learning models using iterative development processes, based on statistical approaches and data mining techniques.
Identify and implement the most optimal modeling techniques based on available data types and objectives/use cases (supervised, unsupervised, semi-supervised, or reinforcement learning).
Implement highly efficient automated processes that produce modeling results at scale.
Review current offerings and future developments in artificial intelligence and machine learning and socialize these with key stakeholders to understand needs and potential use cases in the hospital.
Perform validation of machine learning models for accuracy and develop recommendations for enhancements based on localized data, monitor their performance post-implementation, and fine-tune for optimal results.
Create clear documentation of workflows, methodologies used, and assumptions built in for various levels of technical expertise.
Engage in the deployment and integration of predictive models and artificial intelligence into development and production environments within the hospital.
Advance the department's capabilities in technical and analytical areas by proactively building partnerships and collaborating with cross-functional teams.
Contribute to a culture of innovation, collaboration, and continuous improvement by following the latest developments in machine learning research and technology trends.
Able to expertly maintain existing models as well as deployment new models in both Epic and Non-Epic environments
Stay up to date with the latest changes from Epic to their analytics and predictive modeling applications through (e.g.) Nova Notes
Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience

Bachelors Degree in Computer Science, Mathematics, Statistics, Engineering, Economics, or another computational/quantitative field (or equivalent experience)
7 or more years of experience using data mining/analytical methods and associated tools such as Python, R, etc.
7 or more years of experience with SQL in a relational database or an equivalent combination of education and experience
5 or more years of experience with various machine learning methods: unsupervised learning, semi-supervised, supervised learning, as well as anomaly detection, natural language processing and dimensionality reduction
5 or more years of experience with containerization and orchestration tools such as Docker and Kubernetes
5 or more years of experience with cloud computing platforms such as Azure
3 or more years of experience with Nebula, Epic's cloud computing and modeling platform

Preferred Education and Experience

Master's Degree in a related field OR
Doctorate in a related field
Experience working with business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
Experience with analytical documentation tools such as Jupyter Notebook
Experience in a relevant industry or environment

Required Licensure and Certification

Epic certification in 4 data model(s). If not certified, certification is required within 12 months from employment within 1 Year

Time Type:
Full time

Job Requisition ID:
R-52607

Important information for you to know as you apply:

The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link
Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.

Need help finding the right job?

We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

Dice Id: 91112270
Position Id: b947d82f13e308ecff990c47d390ce76
Posted 30+ days ago

Fitment

Dice Job Match Score™

✨ Finding the perfect fit...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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