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# Machine Learning Researcher / Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** United States (Remote available)
- **Salary:** $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Software Quality, Genetic Algorithm, Machine Learning, Performance Tuning, Reinforcement Learning, Cloud Platform System, Feature Engineering, Pytorch, Random Forest, Apache Spark, Production Code, Xgboost, Data Pipelines, Databricks
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/3798f1dd-3d03-4d2b-b135-6845c7f3ad7f

## About the Role

This role is ideal for someone with a strong mathematical foundation who enjoys evaluating different machine learning approaches, transforming research into production-quality code, and delivering practical results. The team values intellectual curiosity, thoughtful model selection, experimentation, and strong engineering execution., * Strong mathematical background with practical application to machine learning, feature engineering, and optimization

 * Hands-on experience with at least one machine learning framework such as PyTorch, JAX, or XGBoost
 * Ability to evaluate multiple modeling approaches and select the most appropriate solution for a given problem
 * Experience building organized, maintainable research codebases and driving projects through execution
 * Strong problem-solving skills and a genuine interest in learning new techniques and methodologies
 * Thoughtful use of AI-assisted development tools with awareness of limitations and code quality considerations

Desired Skills & Experience

 * Experience across multiple machine learning disciplines such as reinforcement learning, neural networks, gradient boosting, random forests, genetic algorithms, or ensemble learning
 * GPU optimization and performance tuning experience
 * Familiarity with Spark and/or Databricks
 * Exposure to cloud environments such as AWS
 * Interest in financial markets or quantitative investing. Financial industry experience is not required, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

## Description

You will work on machine learning research, feature engineering, optimization problems, and the continued evolution of data and engineering platforms. The environment encourages exploration of new techniques while maintaining a strong focus on implementation and outcomes. Required Skills & Experience, * Research, compare, and evaluate machine learning techniques to determine the best solution for each problem

 * Apply statistics, linear algebra, optimization, and related mathematical methods to modeling and feature engineering challenges
 * Read research papers and transform promising ideas into practical experiments and implementations
 * Develop and maintain structured, scalable research code
 * Contribute to data pipelines and engineering infrastructure within a hands-on environment
 * Utilize AI tools responsibly while maintaining ownership of technical decisions and code quality


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