Senior Staff Machine Learning Engineer – Core Services Engineering

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Company Overview

A leading global technology platform is seeking an experienced Senior Staff Machine Learning Engineer to join its Risk and Trust engineering organization. The organization focuses on delivering secure and seamless digital experiences by establishing industry-leading standards for identity verification, account integrity, and advanced fraud prevention.

The Risk and Trust organization plays a critical role in protecting users and maintaining the integrity of global services. Its teams proactively address sophisticated and evolving AI-driven fraud threats while developing innovative solutions that strengthen safety, security, and trust across the platform.

The Senior Staff Machine Learning Engineer will focus on developing innovative fraud prevention and account integrity solutions. The role requires a highly experienced machine learning engineering leader who can shape technical strategy, solve complex large-scale problems, and deliver production-ready machine learning systems.

Key Responsibilities

• Work with product, data science, and engineering leadership to shape the team’s technical roadmap and define complex problem formulations.
• Apply expertise in machine learning, optimization, and statistics to design robust engineering solutions that generate meaningful business impact.
• Shape the Machine Learning Engineer role and help elevate machine learning engineering talent across the organization.
• Take end-to-end ownership of machine learning products, including model pipelines, system design, implementation, A/B testing, and rollout.
• Collaborate with engineering teams to productionize machine learning solutions at scale.
• Design and implement scalable machine learning systems capable of addressing complex real-world challenges.
• Drive innovation in fraud prevention, account integrity, and risk management through advanced machine learning techniques.
• Partner with cross-functional teams to translate business challenges into effective technical and machine learning solutions.

Basic Qualifications

• 10+ years of industry experience developing machine learning models, including classical machine learning and deep learning, and deploying ML solutions into production.
• Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong problem-solving skills with extensive expertise in machine learning methodologies.
• Experience applying machine learning, statistics, or optimization techniques to solve large-scale real-world problems.
• Industry experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience working with complex data pipelines.
• Proficiency in programming languages and technologies such as Python, Spark SQL, Presto, Go, or Java.

Preferred Qualifications

• PhD in Computer Science, Engineering, Mathematics, or a related field.
• Familiarity with multi-task learning.
• Experience working with Large Language Models (LLMs).
• Knowledge of anomaly detection techniques.
• Experience applying machine learning to fraud prevention or risk-related problems.
• Strong understanding of large-scale machine learning systems and production environments.
• Experience collaborating with product, engineering, and data science leadership.
• Demonstrated ability to mentor and develop machine learning engineering talent.

Disclaimer

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