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419 results (13 new)

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Machine Learning Engineering Manager

United Airlines

Chicago, Illinois • Today

Full-time

Sr Machine Learning Engineering Manager - AI Quality and Governance

Workiva

Remote • Today

Full-time

USD 193,000.00 - 308,000.00 per year

Senior Manager, AI/ML Engineering

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Motion Recruitment Partners, LLC

Chicago, Illinois • Today

Easy Apply

Full-time

$170000 - $200000

Engineering Manager, Machine Learning Platform

Affirm

Remote • Today

Full-time

USD 230,000.00 - 290,000.00 per year

Director, AI ML Engineering - Remote

UnitedHealth Group

Remote or Schaumburg, Illinois • Today

Full-time

USD 134,600.00 - 230,800.00 per year

Manager Machine Learning Engineering

Paylocity Corporation

Remote • Today

Full-time

USD 173,000.00 - 321,200.00 per year

Senior Manager, Machine Learning Engineering - Communication & Connectivity

Airbnb

Remote • Today

Full-time

USD 248,000.00 - 310,000.00 per year

Sr Manager AI/ML Engineering - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

Sr. Manager, AI/ML Engineering - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

Sr. Manager, Machine Learning Engineering-Applied Research

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 227,871.00 - 469,147.00 per year

Senior Machine Learning Engineer Manager

Atlassian Inc.

Remote or Seattle, Washington • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Machine Learning Engineer, Senior Manager

Credit Acceptance Corporation

Remote • Today

Full-time

USD 184,354.00 - 270,386.00 per year

Senior Machine Learning Engineer, Customer Support Engineering

Airbnb

Remote • Today

Full-time

USD 196,000.00 - 227,000.00 per year

Director, AI/ML Engineering

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 176,700.00 - 302,900.00 per year

VP AI ML Engineering, Medicare & Retirement

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 200,400.00 - 343,500.00 per year

Director, AI/ML Engineering, Accelerated Core Technology - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 176,700.00 - 302,900.00 per year

Sr. Delivery Manager (AI/ML Program Delivery)

EPAM Systems

Remote or Dallas, Texas • Today

Full-time

Director of AI/ML Engineering - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 176,700.00 - 302,900.00 per year

Sr. Director | Engineering, ML

Machinify

Remote • Today

Full-time

Senior Director, AI/ML Engineering - Remote , MN preferred

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 203,200.00 - 348,400.00 per year

Senior Engineering Manager, Machine Learning Platform

Affirm

Remote • Today

Full-time

USD 265,000.00 - 325,000.00 per year

Manager, Machine Learning Engineering (Fraud)

Affirm

Remote • Today

Full-time

USD 230,000.00 - 290,000.00 per year

Senior ML Ops Engineer

Mitchell Martin, Inc.

Remote • 9d ago

Easy Apply

Full-time, Third Party

$105000 - $150000

Senior AI/ML Solutions Engineer

James Hardie Inc

Chicago, Illinois • Today

Full-time

Compensation information provided in the description

Sr. Machine Learning Engineer (Canada - Remote)

Hyatt Corporatation

Remote or Chicago, Illinois • Today

Full-time

Hardware Machine Learning PhD Research Internship

IMC

Chicago, Illinois • 27d ago

Full-time

USD 225,000.00 per year

Senior Solution Engineer

Snowflake Inc.

Chicago, Illinois • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Senior Gen AI Software Engineer

Fitch Group

Chicago, Illinois • Today

Full-time

USD 120,000.00 - 140,000.00 per year

Senior Staff Data Scientist

Ritchie Bros.

Westchester, Illinois • Today

Full-time

USD 142,530.00 - 178,110.00 per year

Job Details

Skills

Statistical Models
Algorithms
Data Management
Testing
Debugging
Documentation
Deep Learning
Data Analysis
Modeling
FOCUS
Continuous Integration and Development
Mentorship
Code Review
Computer Science
Management
Software Development Methodology
Software Development
PySpark
Workflow
Software Engineering
Python
Java
Rust
C
C++
Data Science
PyTorch
TensorFlow
Keras
Pandas
NumPy
Docker
Amazon Lambda
Continuous Integration
Continuous Delivery
Extract
Transform
Load
Big Data
Apache Hadoop
Electronic Health Record (EHR)
Amazon Redshift
Amazon S3
Amazon Kinesis
Data Storage
Machine Learning Operations (ML Ops)
Cloud Computing
Communication
Presentations
Amazon Web Services
Machine Learning (ML)
Real-time
Apache Kafka
Apache Flink
Apache Spark
GPU
CUDA
Kubernetes

Statistical Models
Algorithms
Data Management
Testing
Debugging
Documentation
Deep Learning
Data Analysis
Modeling
FOCUS
Continuous Integration and Development
Mentorship
Code Review
Computer Science
Management
Software Development Methodology
Software Development
PySpark
Workflow
Software Engineering
Python
Java
Rust
C
C++
Data Science
PyTorch
TensorFlow
Keras
Pandas
NumPy
Docker
Amazon Lambda
Continuous Integration
Continuous Delivery
Extract
Transform
Load
Big Data
Apache Hadoop
Electronic Health Record (EHR)
Amazon Redshift
Amazon S3
Amazon Kinesis
Data Storage
Machine Learning Operations (ML Ops)
Cloud Computing
Communication
Presentations
Amazon Web Services
Machine Learning (ML)
Real-time
Apache Kafka
Apache Flink
Apache Spark
GPU
CUDA
Kubernetes

Summary

Description

Job overview and responsibilities

Develops and programs integrated software algorithms to structure, analyze and leverage data in systems applications. Develops and communicates statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Can work with large scale computing frameworks, data analysis systems and modeling environments.

Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications

What's needed to succeed (Minimum Qualifications):

Bachelor's degree in computer science, engineering, or a related technical discipline
3+ years of experience in managing technical teams and projects
3+ years of experience in full software lifecycle development using Python
3+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
3+ years in software development in Python, Java, PySpark
3+ Years of Experience with Machine Learning and Machine Learning workflows
3+ years of experience designing and developing using technologies as Docker, Kubernetes
Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++
Understanding of machine learning principles and techniques
Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
Knowledge of distributed systems as it pertains to compute and data storage
Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

AWS Certified Solution Architect (Associate or Professional)
Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions
Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
Experience with GPU acceleration (e.g. CUDA and CuDNN)
Experience with Kubernetes

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: unitedil
Position Id: fcc5fad02ea25c6d93a156f9bdaa1f4f
Posted 1 day ago

Fitment

Dice Job Match Score™

✨ Finding the perfect fit...

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Chicago, Illinois

•

23d ago

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Join Allstate Technology Solutions, a pioneering force co

Full-time

USD 110,000.00 - 181,025.00 per year

Sr. Machine Learning Engineer (Canada - Remote)

Remote or Chicago, Illinois

•

Today

Summary: The Opportunity Hyatt Hotels Corporation seeks an enthusiastic Senior ML Engineer to join our Data Science and Machine Learning department. In this role, you will be collaborating closely with the broader Data and Analytics team, where you'll be instrumental in continuing to make Hyatt a leading hospitality company. You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with coll

Full-time

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Chicago, Illinois

•

Today

Our client in the industrial distribution space is hiring for a full time Machine Learning Manager in the Chicago area. This organization is a large, well established global distributor that quietly powers millions of businesses every day through technology, logistics, and data. *This role is hybrid in downtown Chicago a few times a month* Our client is looking for a leader who combines genuine technical depth with the vision to build and scale a world class ML team. You'll own the end-to-end re

Easy Apply

Full-time

$170000 - $200000

Machine Learning Engineer

Remote

•

Today

Job Type Full-time Description Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers

Full-time

USD 106,600.00 - 152,300.00 per year

Job Details

Skills

Statistical Models
Algorithms
Data Management
Testing
Debugging
Documentation
Deep Learning
Data Analysis
Modeling
FOCUS
Continuous Integration and Development
Mentorship
Code Review
Computer Science
Management
Software Development Methodology
Software Development
PySpark
Workflow
Software Engineering
Python
Java
Rust
C
C++
Data Science
PyTorch
TensorFlow
Keras
Pandas
NumPy
Docker
Amazon Lambda
Continuous Integration
Continuous Delivery
Extract
Transform
Load
Big Data
Apache Hadoop
Electronic Health Record (EHR)
Amazon Redshift
Amazon S3
Amazon Kinesis
Data Storage
Machine Learning Operations (ML Ops)
Cloud Computing
Communication
Presentations
Amazon Web Services
Machine Learning (ML)
Real-time
Apache Kafka
Apache Flink
Apache Spark
GPU
CUDA
Kubernetes

Statistical Models
Algorithms
Data Management
Testing
Debugging
Documentation
Deep Learning
Data Analysis
Modeling
FOCUS
Continuous Integration and Development
Mentorship
Code Review
Computer Science
Management
Software Development Methodology
Software Development
PySpark
Workflow
Software Engineering
Python
Java
Rust
C
C++
Data Science
PyTorch
TensorFlow
Keras
Pandas
NumPy
Docker
Amazon Lambda
Continuous Integration
Continuous Delivery
Extract
Transform
Load
Big Data
Apache Hadoop
Electronic Health Record (EHR)
Amazon Redshift
Amazon S3
Amazon Kinesis
Data Storage
Machine Learning Operations (ML Ops)
Cloud Computing
Communication
Presentations
Amazon Web Services
Machine Learning (ML)
Real-time
Apache Kafka
Apache Flink
Apache Spark
GPU
CUDA
Kubernetes

Summary

Design and implement key components of the Machine Learning Platform infrastructure and establish processes and best practices
Work cross-functionally with data scientists, data engineers, and IT teams to design, develop, deploy, and integrate high-performance, production-grade machine learning solutions and data intensive workflows
Partner with data scientists and data engineers to create and refine features from underlying data and build reproducible feature pipelines to train models and serve features in production
Partner with data platform and operations teams to solve complex data ingestion, pipeline and governance problems for machine learning solutions
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications

What's needed to succeed (Minimum Qualifications):

Bachelor's degree in computer science, engineering, or a related technical discipline
3+ years of experience in managing technical teams and projects
3+ years of experience in full software lifecycle development using Python
3+ years of experience leading an ML Ops team familiar with large cloud environments, Big Data technologies
3+ years in software development in Python, Java, PySpark
3+ Years of Experience with Machine Learning and Machine Learning workflows
3+ years of experience designing and developing using technologies as Docker, Kubernetes
Strong software engineering experience with Python and at least one additional language such as Java, Go, Rust, or C/C++
Understanding of machine learning principles and techniques
Experience with data science tools and frameworks (e.g. PyTorch, Tensorflow, Keras, Pandas, Numpy, Spark)
Experience designing and developing scalable cloud native solutions using technologies such as Docker and Kubernetes and serverless services such as AWS Lambda, EKS, ECS, Fargate
Experience building infrastructure-as-code templates (e.g. AWS CloudFormation) and cloud-native CI/CD pipelines using tools such as AWS CodePipeline
Experience building ETL pipelines and working with big data technologies (e.g. Hadoop, Spark, and serverless technologies such as EMR, Redshift, S3, AWS Glue, and Kinesis)
Knowledge of distributed systems as it pertains to compute and data storage
Strong desire to experiment with and learn new technologies and stay aligned with the latest community developments in ML Ops/Engineering and cloud native
Excellent oral and written communication skills. Ability to prepare high-quality presentation materials and explain complex concepts and technical materials to less-technical audiences
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):

AWS Certified Solution Architect (Associate or Professional)
Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions
Experience building real-time event-driven stream processing solutions with technologies such as Kafka, Flink, and Spark
Experience with GPU acceleration (e.g. CUDA and CuDNN)
Experience with Kubernetes

Dice Id: unitedil
Position Id: fcc5fad02ea25c6d93a156f9bdaa1f4f
Posted 1 day 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.

Chicago, Illinois

•

23d ago

Full-time

USD 110,000.00 - 181,025.00 per year

Sr. Machine Learning Engineer (Canada - Remote)

Remote or Chicago, Illinois

•

Today

Full-time

Machine Learning Manager/eCommerce/Hybrid/Chicago LOCAL

Chicago, Illinois

•

Today

Easy Apply

Full-time

$170000 - $200000

Machine Learning Engineer

Remote

•

Today

Full-time

USD 106,600.00 - 152,300.00 per year

Machine Learning Engineering Manager

Skills

Summary

Dice Job Match Score™

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Machine Learning Engineering Manager

Job Details

Skills

Summary

Dice Job Match Score™

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