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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

Engineering Manager, Machine Learning - Personalize Intelligence

Adyen

Chicago, Illinois • Today

Full-time

USD 207,000.00 - 279,000.00 per year

Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company

Chicago, Illinois • 2d ago

Full-time

USD 120,000.00 - 193,725.00 per year

Engineering Manager, Machine Learning (Safety)

Discord Inc.

Remote or San Francisco, California • Today

Full-time

USD 272,000.00 - 340,000.00 per year

Senior Engineering Manager - Machine Learning Data Enablement

Upstart

Remote • Today

Full-time

Compensation information provided in the description

Engineering Manager - AI/ML (Remote)

Rula Health

Remote • Today

Full-time

USD 208,000.00 - 260,000.00 per year

Sr. Manager, Software Engineering - Machine Learning Simulations

Upstart

Remote • Today

Full-time

Compensation information provided in the description

Sr Manager, AI/ML Engineering - Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

Senior Manager, Machine Learning Engineering - Communication & Connectivity

Airbnb

Remote • Today

Full-time

USD 248,000.00 - 310,000.00 per year

Senior Manager, AI/ML Engineering - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 148,900.00 - 255,300.00 per year

Senior Engineering Manager, ML Platform

Sift Science, Inc

Remote or San Francisco, California • 17d ago

Full-time

USD 240,000.00 - 340,000.00 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

AI/ML Engineer

Mitchell Martin, Inc.

Chicago, Illinois • 13d ago

Easy Apply

Contract, Third Party

$75 - $85

Sr. Delivery Manager (AI/ML)

EPAM Systems

Remote or New York, New York • Today

Full-time

Sr. Delivery Manager (AI/ML)

EPAM Systems

Remote • Today

Full-time

Manager of Machine Learning - AI Modeling and Operation

Workiva

Remote • Today

Full-time

USD 163,000.00 - 290,000.00 per year

Director of Engineering, Machine Learning Recommendations

Etsy, Inc

Remote or New York, New York • Today

Full-time

Coordinator, Machine Learning Product and Engineering

Etsy, Inc

Remote or New York, New York • Today

Full-time

Senior AI/ML Architect, Applied Field Engineering

Snowflake Inc.

Remote or Atlanta, Georgia • Today

Full-time

USD 165,000.00 - 216,562.00 per year

Summer 2027 Intern - Machine Learning Engineering

Workiva

Remote • Today

Part-time

USD 40.00 - 40.00 per hour

AI/ML Engineering Lead

Protective

Remote or Nebraska • Today

Full-time

USD 124,500.00 - 180,000.00 per year

Director, AI/ML Engineering - Claims Automation & Orchestration - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 176,700.00 - 302,900.00 per year

Applied Machine Learning Engineer Senior Consultant II (Software Engineering Focus)

Allstate Insurance Company

Remote or Illinois • Today

Full-time

USD 120,000.00 - 193,725.00 per year

Senior Director AI/ML Engineering - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 203,200.00 - 348,400.00 per year

Sr. Director | Engineering, ML

Machinify

Remote • 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

Machine Learning Engineer

Crowe LLP

Chicago, Illinois • Today

Full-time

USD 62,000.00 - 100,000.00 per year

Applied ML Scientist/Engineer

The Intersect Group

Remote • Today

Easy Apply

Contract

Depends on Experience

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 30+ days ago

Fitment

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Machine Learning Engineer

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MLOps Engineer / Unicorn Startup / Remote

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Staff Machine Learning Engineer

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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

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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
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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 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

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

Similar Jobs

Business Consultant - AI/ML Engineer

Chicago, Illinois

•

Today

Full-time

USD 91,000.00 - 115,000.00 per year

Machine Learning Engineer

Remote

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Full-time

USD 160,000.00 per year

MLOps Engineer / Unicorn Startup / Remote

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14d ago

Full-time

USD 146,600.00 - 209,400.00 per year