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Machine Learning Research Engineer (Remote)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$200000 - $250000

Machine Learning Engineer, New Grad - Quora (Remote)

Quora

Remote or Canada, Kentucky • Today

Full-time

USD 107,360.00 - 152,900.00 per year

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or San Diego, California • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior Machine Learning Engineer, Ads - Quora (Remote)

Quora

Remote or Canada, Kentucky • Today

Full-time

USD 189,507.00 - 274,604.00 per year

Principal AI/ML Engineer Remote Nationwide or Office-Based in MN/DC/NJ

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Frontend Software Engineer, Scientific Applications - Remote

Ashtrix

Remote or San Francisco, California • 18d ago

Full-time

USD 50.00 per hour

Remote Machine Learning Researcher

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

USD 200,000.00 per year

Machine Learning Lead Engineer, Machine Learning (ML) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$160,000 - $190,000

Principal Ai Engineer (Remote in CT)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$180000 - $245000

Senior Scientific Data Engineer (Remote in MA)

Motion Recruitment Partners, LLC

Remote or Boston, Massachusetts • Today

Easy Apply

Full-time

USD 140,000.00 - 200,000.00 per year

Remote Sensing Software Engineer: DAY-2607

deciBel Research, Inc.

Remote or Beavercreek, Ohio • Today

Full-time

Engineer II, Full Stack (Remote)

CrowdStrike, Inc.

Remote • Today

Full-time

USD 100,000.00 - 145,000.00 per year

Senior Platform Infrastructure Engineer - USA Remote

Danaher Corporation

Remote • Today

Full-time

USD 135,000.00 - 150,000.00 per year

DevSecOps Presales Solutions Engineer - Mid-Atlantic region (Remote in VA, MD, PA, NC, DE, NJ, or DC)

GuidePoint Security

Remote • Today

Full-time

Remote Sensing Engineer

Riverside Research

Remote or Fairfax, Virginia • Today

Full-time

USD 97,000.00 per year

Senior Staff AI Engineer (Remote Eligible)

Capital One

New York, New York • Today

Full-time

Senior Staff AI Engineer (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Sr. Staff AI Engineer (Remote Eligible)

Capital One

New York, New York • Today

Full-time

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

New York, New York • Today

Full-time

Sr. Staff AI Engineer (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Senior Azure Artificial Intelligence Security Architect - Remote

Molina Healthcare

Remote or Long Beach, California • Today

Full-time

USD 111,893.00 - 218,192.00 per year

Staff AI Engineer role (Remote Eligible)

Capital One

New York, New York • Today

Full-time

Staff AI Engineer role (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Staff AI Engineer (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

Capital One

New York, New York • Today

Full-time

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

Capital One

New York, New York • Today

Full-time

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)

Capital One

McLean, Virginia • Today

Full-time

Sr. Director, Full- Stack Engineer, Shopping Tech (Remote - Eligible)

Capital One

Remote or McLean, Virginia • Today

Full-time

USD 286,200.00 - 326,700.00 per year

Motion Recruitment Partners, LLC

Job Details

Skills

Decision-making
Mathematics
Statistics
Python
PyTorch
JAX
XGBoost
Testing
Analytical Skill
Problem Solving
Conflict Resolution
Modeling
Ensemble
Gradient Boosting
Algorithms
Performance Tuning
Apache Spark
Databricks
Amazon Web Services
Finance
Optimization
Emerging Technologies
Organized
Collaboration
Artificial Intelligence
Machine Learning (ML)
Management
Research
IT Strategy
Cloud Computing
Distributed Computing
GPU
Health Insurance
SAP BASIS

Decision-making
Mathematics
Statistics
Python
PyTorch
JAX
XGBoost
Testing
Analytical Skill
Problem Solving
Conflict Resolution
Modeling
Ensemble
Gradient Boosting
Algorithms
Performance Tuning
Apache Spark
Databricks
Amazon Web Services
Finance
Optimization
Emerging Technologies
Organized
Collaboration
Artificial Intelligence
Machine Learning (ML)
Management
Research
IT Strategy
Cloud Computing
Distributed Computing
GPU
Health Insurance
SAP BASIS

Summary

Job Description A quantitative investment firm is seeking a Machine Learning Research Engineer to join a highly technical team focused on applying advanced machine learning techniques to complex, real-world problems. This position is ideal for someone who enjoys combining mathematical rigor with hands-on engineering and wants to see research evolve into practical, impactful solutions.
The team values curiosity, experimentation, and thoughtful decision-making. Rather than forcing problems into a single framework, you'll evaluate multiple approaches, select the most appropriate methodology, and build well-structured solutions that deliver measurable results. You'll have the opportunity to work on challenging machine learning initiatives while contributing to an evolving data and research platform. Required Skills & Experience

Strong background in mathematics, statistics, optimization, or a related quantitative discipline
Experience applying machine learning techniques to solve complex business or research problems
Proficiency with Python and modern machine learning frameworks such as PyTorch, JAX, XGBoost, or similar technologies
Experience designing, testing, and implementing machine learning models
Ability to build and maintain organized, scalable research codebases
Strong analytical and problem-solving skills
Experience evaluating multiple modeling approaches and selecting the best fit for a given problem
Ability to take projects from research and experimentation through production-ready implementation

Desired Skills & Experience

Experience with reinforcement learning, neural networks, ensemble methods, gradient boosting, random forests, or genetic algorithms
GPU optimization and performance tuning experience
Familiarity with Spark and/or Databricks
Experience working within AWS or distributed computing environments
Exposure to large-scale data pipelines and machine learning infrastructure
Interest in quantitative finance, investing, or financial markets

What You Will Be Doing Daily Responsibilities

Research and evaluate machine learning techniques to solve challenging quantitative problems
Apply advanced mathematical concepts to feature engineering, model development, and optimization efforts
Explore new research papers and emerging technologies, translating ideas into practical experiments
Develop and maintain scalable machine learning systems and research tooling
Build clean, organized, and maintainable code that supports ongoing research efforts
Collaborate with engineers and researchers to improve data pipelines and platform capabilities
Utilize AI-assisted development tools responsibly while maintaining high standards for code quality and validation
Continuously experiment, iterate, and improve model performance based on quantitative results

The Offer

Competitive base salary
Performance-based bonus opportunity
Exposure to cutting-edge machine learning research and engineering challenges
Collaborative and highly technical environment
Direct impact on research initiatives and technology strategy
Opportunity to work with modern cloud, distributed computing, and GPU-based technologies

You will receive the following benefits

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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: 10105282
Position Id: 894565
Posted 2 hours ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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Lead MLOps Engineer (Remote EST)

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Easy Apply

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$200000 - $250000

Motion Recruitment Partners, LLC

Job Details

Skills

Decision-making
Mathematics
Statistics
Python
PyTorch
JAX
XGBoost
Testing
Analytical Skill
Problem Solving
Conflict Resolution
Modeling
Ensemble
Gradient Boosting
Algorithms
Performance Tuning
Apache Spark
Databricks
Amazon Web Services
Finance
Optimization
Emerging Technologies
Organized
Collaboration
Artificial Intelligence
Machine Learning (ML)
Management
Research
IT Strategy
Cloud Computing
Distributed Computing
GPU
Health Insurance
SAP BASIS

Decision-making
Mathematics
Statistics
Python
PyTorch
JAX
XGBoost
Testing
Analytical Skill
Problem Solving
Conflict Resolution
Modeling
Ensemble
Gradient Boosting
Algorithms
Performance Tuning
Apache Spark
Databricks
Amazon Web Services
Finance
Optimization
Emerging Technologies
Organized
Collaboration
Artificial Intelligence
Machine Learning (ML)
Management
Research
IT Strategy
Cloud Computing
Distributed Computing
GPU
Health Insurance
SAP BASIS

Summary

Strong background in mathematics, statistics, optimization, or a related quantitative discipline
Experience applying machine learning techniques to solve complex business or research problems
Proficiency with Python and modern machine learning frameworks such as PyTorch, JAX, XGBoost, or similar technologies
Experience designing, testing, and implementing machine learning models
Ability to build and maintain organized, scalable research codebases
Strong analytical and problem-solving skills
Experience evaluating multiple modeling approaches and selecting the best fit for a given problem
Ability to take projects from research and experimentation through production-ready implementation

Desired Skills & Experience

Experience with reinforcement learning, neural networks, ensemble methods, gradient boosting, random forests, or genetic algorithms
GPU optimization and performance tuning experience
Familiarity with Spark and/or Databricks
Experience working within AWS or distributed computing environments
Exposure to large-scale data pipelines and machine learning infrastructure
Interest in quantitative finance, investing, or financial markets

What You Will Be Doing Daily Responsibilities

Research and evaluate machine learning techniques to solve challenging quantitative problems
Apply advanced mathematical concepts to feature engineering, model development, and optimization efforts
Explore new research papers and emerging technologies, translating ideas into practical experiments
Develop and maintain scalable machine learning systems and research tooling
Build clean, organized, and maintainable code that supports ongoing research efforts
Collaborate with engineers and researchers to improve data pipelines and platform capabilities
Utilize AI-assisted development tools responsibly while maintaining high standards for code quality and validation
Continuously experiment, iterate, and improve model performance based on quantitative results

The Offer

Competitive base salary
Performance-based bonus opportunity
Exposure to cutting-edge machine learning research and engineering challenges
Collaborative and highly technical environment
Direct impact on research initiatives and technology strategy
Opportunity to work with modern cloud, distributed computing, and GPU-based technologies

You will receive the following benefits

Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Dice Id: 10105282
Position Id: 894565
Posted 2 hours ago

Company Info

About Motion Recruitment Partners, LLC

Go to company profile

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

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