Machine Learning Research Engineer (Remote)

Remote in Remote, MA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
$200000 - $250000/yr
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Decision-making
  • Mathematics
  • Statistics
  • Python
  • PyTorch
  • JAX
  • XGBoost
  • Testing
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Modeling
  • Ensemble
  • Gradient Boosting
  • Algorithms
  • Performance Tuning
  • Apache Spark
  • Databricks
  • Amazon Web Services
  • Finance
  • Optimization
  • Emerging Technologies
  • Organized
  • Collaboration
  • Artificial Intelligence
  • Machine Learning (ML)
  • Management
  • Research
  • IT Strategy
  • Cloud Computing
  • Distributed Computing
  • GPU
  • Health Insurance
  • SAP BASIS

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 894565
  • Posted 2 hours ago

Company Info

About Motion Recruitment Partners, LLC

Motion Recruitment delivers IT Talent Solutions for Contract, Direct Hire, Managed Solutions and Statement of Work to all of North America from our 21 delivery centers. Our high-touch, specialized, team-based recruitment model’s success is proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike. Our hyper-specialized tech focus results in a truly consultative approach for both our clients and candidates, within our recruiting areas of expertise: Software, Mobile, Data, Infrastructure, Cybersecurity, Product + UX and Functional.

Motion also delivers IT Consulting Solutions through the Motion Consulting Group (MCG) that create true digital transformation for IT projects in Agile Development & Coaching, DevOps & DevSecOps Solutions, and Managed Services for IT Operations.

We’re also the proud creators of Tech in Motion and the Timmy Awards, our North American community platform, events series and award program that connects over 250,000 tech enthusiasts to meet, learn, and innovate.

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