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Kelly Services

Machine Learning Research Engineer (Remote)

Remote, United States

$200000 - $250000

Apply on usnlx.com About employer

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Job details

Pay: $200000 - $250000
Posting language: English
Posted: Nov 11, 2026

Original job description

$200000 - $250000

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.

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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More about this job

Skills

Machine learning
Research
Decision making
Statistics
Python
PyTorch
XGBoost
Problem solving
Apache Spark
Databricks
AWS
Distributed computing
Financial markets
Collaborate with engineers

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Jobs in the United States