Senior ML Engineer: Fraud Detection & Production

United States Digital Space LLC; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

United States Digital Space LLC is seeking a Senior Machine Learning Engineer on the Fraud Data team to advance fraud detection across our financial network. You will design and deploy models, build training data, and collaborate with Data Science, Product, and Engineering to deliver measurable improvements.

The ideal candidate will bring 7+ years of ML experience, strong Python/SQL skills, and hands-on experience with PyTorch, XGBoost, and scikit-learn.

Qualifications

• 7+ years of professional experience in ML, applied science, or software engineering for ML, including hands-on model development and deployment.
• Hands-on experience designing, training, tuning, and deploying models, and measuring improvements in production performance or business metrics.
• Strong ML fundamentals, including feature engineering, experiment design, model evaluation, and diagnosing underperformance.
• Experience with both traditional and modern ML methods, including gradient-boosted trees and neural networks.
• Experience constructing training datasets and addressing label quality, data leakage, class imbalance, and generalization across time periods or populations.
• Strong Python skills, SQL proficiency for working with training and evaluation data, and hands-on experience with ML frameworks such as PyTorch, scikit‑learn, XGBoost.
• Experience independently leading ML projects from open-ended problems through deployment, coordinating with DS, Product, and Engineering.

Responsibilities

• Build hands-on machine learning expertise across the full ML lifecycle, from feature engineering and experimentation to model deployment.
• Take models from initial experimentation through production and evaluate their impact using real-world customer outcomes.
• Develop experience building and scaling reliable ML systems in production.
• Explore how LLMs and Generative AI can improve fraud detection, prevention, and investigation.
• Accelerate your career in a fast-paced environment with opportunities to take ownership, solve complex problems, and make a meaningful impact.

Skills

ML fundamentals

Experiment design

Python

SQL

Model deployment

Feature engineering

Leadership

Tools

PyTorch

scikit-learn

XGBoost

Job description

United States Digital Space LLC is seeking a Senior Machine Learning Engineer on the Fraud Data team to advance fraud detection across our financial network. You will design and deploy models, build training data, and collaborate with Data Science, Product, and Engineering to deliver measurable improvements.

The ideal candidate will bring 7+ years of ML experience, strong Python/SQL skills, and hands-on experience with PyTorch, XGBoost, and scikit-learn.