Machine Learning Research Engineer (Remote)

$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.