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Machine Learning Research Engineer (Remote)

Motion Recruitment Partners, LLC

Remote • Today

Easy Apply

Full-time

$200000 - $250000

AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)

Apple, Inc.

New York, New York • Today

Full-time

Senior Machine Learning Engineer (Research Scientist) - Fraud

Plaid

New York, New York • Today

Full-time

USD 228,960.00 - 315,360.00 per year

Machine Learning Engineer, Applied Research

Whatnot

New York, New York • Today

Full-time

USD 210,000.00 - 300,000.00 per year

Applied Machine Learning Engineer – Multimodal AI # 26-28180

U.S. Tech Solutions Inc.

Hybrid in New York, New York • 3d ago

Easy Apply

Contract

$80 - $85

Applied Machine Learning Engineer – Multimodal AI- #25-29883

U.S. Tech Solutions Inc.

Hybrid in New York, New York • 3d ago

Easy Apply

Contract

$65 - $70

Machine Learning Research Engineer

Tower Research Capital

New York, New York • Today

Full-time

USD 200,000.00 - 300,000.00 per year

PhD Research Engineer | 5G, ORAN, AI/ML

Random Trees

Hybrid in Piscataway, New Jersey • 2d ago

Easy Apply

Contract

Depends on Experience

Machine Learning Engineer

Verneek

New York, New York • Today

Full-time

USD 40,000.00 per year

Machine Learning Engineer

IMC

New York, New York • Today

Full-time

USD 175,000.00 - 250,000.00 per year

Machine Learning Engineer

IMC

New York, New York • Yesterday

Full-time

USD 175,000.00 - 250,000.00 per year

Machine Learning Engineer

Higharc

Remote or New York, New York • Today

Full-time

Machine Learning (ML) Engineer

KBC Technologies, Inc

Hybrid in New York, New York • 30+d ago

Easy Apply

Contract

Depends on Experience

Lead AI-ML Engineer (Generative AI & LLM)

Visionsoft International

New York, New York • 13d ago

Easy Apply

Contract

Depends on Experience

Staff Machine Learning Engineer

Integral Ad Science, Inc.

New York, New York • Today

Full-time

USD 135,100.00 - 231,600.00 per year

Machine Learning Engineer III

Peloton

New York, New York • Today

Full-time

USD 141,400.00 - 190,700.00 per year

Senior Staff Machine Learning Engineer Search, Recommendations, and Ads

Etsy, Inc

Remote or New York, New York • Today

Full-time

Staff Machine Learning Engineer - Retention

Taskrabbit

New York, New York • Today

Full-time

USD 175,000.00 - 230,000.00 per year

AI/ML Engineer -Agentic Private Bank Engineer, Senior Associate

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 137,750.00 - 195,000.00 per year

Director, Machine Learning Engineer

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer

Kargo

New York, New York • Today

Full-time

USD 172,994.00 - 192,994.00 per year

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 5

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 (Manager, IC)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 5 (Senior Manager, IC)

Capital One

New York, New York • Today

Full-time

Senior Manager, Machine Learning Engineer (People Leader)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer

Jobot

New York, New York • Today

Full-time

USD 200,000.00 - 300,000.00 per year

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 - Manager IC

Capital One

New York, New York • Today

Full-time

Machine Learning Engineer 4 - Finance Tech

Capital One

New York, New York • Today

Full-time

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 4 days 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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Easy Apply

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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 4 days 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.

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