Machine Learning Research Engineer (Remote)

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.