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Machine Learning Research Engineer (Remote) is a Machine Learning Research Engineer role (full-time). with Motion Recruitment. in BOSTON, US. Compensation shown: $200K–$250K. Imported listing (source: yabot.jobs). Apply on the employer's site (yabot.jobs).
Imported listing (source: yabot.jobs) · Apply on yabot.jobs
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Imported job description
Sourced from yabot.jobs
A quantitative investment firm is hiring a Machine Learning Research Engineer to apply advanced ML and mathematical techniques to complex quantitative problems. The role blends research experimentation with production-grade engineering, requiring evaluation of multiple modeling approaches and building scalable research codebases. You'll work with modern ML frameworks, GPU-based infrastructure, and distributed data platforms in a highly technical, collaborative environment.
Responsibilities
- Research and evaluate machine learning techniques for challenging quantitative problems
- Apply mathematical concepts to feature engineering, model development, and optimization
- Explore research papers and emerging technologies, translating ideas into practical experiments
- Develop and maintain scalable machine learning systems and research tooling
- Build clean, maintainable code supporting ongoing research efforts
- Collaborate with engineers and researchers to improve data pipelines and platform capabilities
- Continuously experiment and iterate to improve model performance
Requirements
- Strong background in mathematics, statistics, optimization, or a related quantitative discipline
- Experience applying machine learning to complex business or research problems
- Proficiency with Python and ML frameworks such as PyTorch, JAX, or XGBoost
- Experience designing, testing, and implementing machine learning models
- Ability to build and maintain organized, scalable research codebases
- Ability to take projects from research through production-ready implementation
- Must be authorized to work in the US on a full-time basis
Nice to Have
- 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 with AWS or distributed computing environments
- Exposure to large-scale data pipelines and ML infrastructure
- Interest in quantitative finance, investing, or financial markets
Benefits
medical insurancedental insurancevision insurancepto401k
Tech Stack
AWSDatabricksGPU OptimizationGradient BoostingJAXNeural NetworksPythonPyTorchRandom ForestsReinforcement LearningSparkXGBoost

Boston · US · 1577+ employees
Motion Recruitment, a Kelly company, is an IT staffing and consulting provider serving North America. It supplies contract, direct-hire, managed-solutions, and statement-of-work talent, and provides consulting in agile delivery, DevOps/DevSecOps, and managed IT operations.