Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We succeed as One Schwab—collaborating with trust, integrity, and a shared commitment to doing the right thing for our clients and each other.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

We are looking for a Senior AI/ML Engineer (individual contributor) who will join our Global Data and Analytics team to build and evolve a large‑scale data intelligence platform on Google Cloud Platform (GCP). In this role, you will build and scale fraud detection and decisioning capabilities across real-time and batch data pipelines. This role is ideal for someone who can design production-grade ML systems end-to-end: from data ingestion and feature engineering to model deployment, monitoring, and business decision integration.

You’ll work at the intersection of data architecture and AI, engineering resilient pipelines that enable advanced analytics and machine‑learning models at scale. This is a hands‑on, end‑to‑end engineering role where your work directly supports teams protecting clients and strengthening trust across the firm.

Key Responsibilities

Design and build ML pipelines that combine streaming events and batch processingDevelop, deploy, and optimize models for risk scoring in user login, transactions and payment journeysCreate robust feature engineering pipelines and reusable feature definitions for both online and offline useIntegrate model outputs into operational decision systemsImplement MLOps best practices in standardizing the entire machine learning lifecycleImprove data quality and reliability through schema governance, deduplication, lineage, and data validation checksPartner with risk analysts and product stakeholders to convert business rules and feedback into model improvementsContribute to analytics, dashboards, and LLM-assisted tooling that helps teams understand fraud patterns and model behaviorWhat you have

Required Qualifications

8+ years of professional experience in software, data, or machine learning engineering3-4+ years of hands-on AI/ML experience building and deploying ML models in productionAdvanced Python and SQL skills with deep BigQuery experience in large-scale data processingProven experience with both real-time and batch pipeline designDemonstrated ability to own data preparation and qualityStrong understanding of feature engineeringExperience with cloud ML and data platforms for model training/deployment, data warehouse and orchestrationExperience integrating ML models into low-latency production systems for real time insights and decisioning

Preferred Qualifications

Master’s or advanced degree in computer science or a related fieldExperience with event-driven architectures and streaming platforms such as Kafka or Pub/SubExperience applying GenAI/LLM capabilities to analytics workflowsExperience applying advanced analytical techniques such as graph analytics, anomaly detection, entity linking for pattern detectionHands-on experience with GCP ML servicesExperience working in regulated environments with audit, compliance, and model governance requirementsPrior experience in fraud, risk, or financial crime analytics

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance Apply Save job