Senior ML Engineer - Real-Time Fraud Detection (Remote)

Harnham; United States; À distance; USD 140 000 - 210 000; Plein temps

Avantages offerts par ce poste

Annual bonus

Stock options

401(k) match

Health coverage

Dental coverage

Vision coverage

Unlimited PTO

Parental leave

Life insurance

Disability insurance

Mental health

Résumé du poste

Harnham is partnering with a global technology company at the forefront of ecommerce fraud prevention and transaction intelligence. The Senior Machine Learning Engineer will join an established ML organization responsible for developing and operating models powering real-time fraud decisions.

This role combines applied ML, experimentation, statistical evaluation, and production engineering. You will own complex ML problems from exploration through deployment, monitoring, and optimization in

Qualifications

• 4+ years in a production ML environment.
• Experience building ML solutions from experiments to production.
• Strong Python and SQL skills.
• Hands-on Apache Spark and distributed computing exp.
• Solid ML theory, statistics, evaluation design.
• Experience designing ML experiments from ground up.
• Experience offline evaluation frameworks and multiple modeling approaches.
• Experience deploying, monitoring and improving models in production.
• Ability to work independently on ambiguous problems with teams.

Responsabilités

• Design, develop, evaluate, and deploy ML models for real-time fraud detection.
• Develop experimental approaches to complex ML problems.
• Build and enhance ML pipelines for repeatable experimentation.
• Develop rigorous offline evaluation methodologies prior to deployment.
• Evaluate architectures, features, and statistical methods to improve performance.
• Contribute to ensemble modeling to improve decision systems.
• Build and operate distributed ML workloads using Python, SQL, and Spark.
• Own models across development to production lifecycle.
• Collaborate with Product, Engineering, and Risk to translate requirements.
• Maintain high standards for testing, documentation, reproducibility, and monitoring.
• Provide technical leadership and shape ML org direction.

Connaissances

Python

SQL

Spark

ML theory

Experimentation

Production ML

Distributed computing

Formation

Master's degree or PhD in a quantitative discipline

Outils

Apache Spark

Description du poste

Harnham is partnering with a global technology company at the forefront of ecommerce fraud prevention and transaction intelligence. The Senior Machine Learning Engineer will join an established ML organization responsible for developing and operating models powering real-time fraud decisions.

This role combines applied ML, experimentation, statistical evaluation, and production engineering. You will own complex ML problems from exploration through deployment, monitoring, and optimization in