$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.
