Job Description A quantitative investment and research organization is seeking a
Machine Learning Researcher / Engineer to join a highly collaborative, hands-on team. This is a
fully remote opportunity with compensation
up to $200,000 based on experience.
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.
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
- 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
What You Will Be Doing
Daily Responsibilities - 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
The Offer
- Fully Remote Opportunity
- Base Salary up to $200,000
- Opportunity to work on challenging machine learning and quantitative research problems
- Collaborative, engineering-focused culture with significant ownership and impact
You will receive the following benefits
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k)
