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Machine Learning Research Engineer (Remote)

Summary by AIEngineer.careers

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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BOSTON · US
$200K–$250K
Full-time
MID
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

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
Motion Recruitment

Motion Recruitment

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.

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