Senior ML Platform Engineer

Overview

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world‑changing company—delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best‑in‑class customer experience in an innovative, collaborative environment.

Toyota does not offer support or sponsorship of job applicants for employment‑based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment (e.g., H‑1B, O‑1, E‑3, H‑1B1, TN, F‑1 OPT, F‑1 STEM OPT, F‑1 CPT, TN, (job flexibility benefits) (also known as I‑140 or Adjustment of Status portability), etc.)

now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Toyota Financial Services Enterprise Platforms team is looking for a passionate and highly motivated Senior ML Platform Engineer
. The primary responsibility of this role is to design, build, and operationalize an enterprise‑grade ML platform on AWS Sage Maker Unified Studio. You will lead the organization’s migration from a fragmented ML toolchain to a unified, governed environment, directly impacting how we handle the full ML lifecycle—from initial data discovery to production deployment and monitoring. Reporting to the Enterprise Platforms leadership, the person in this role will support the team’s objective to scale our ML infrastructure and empower data teams to deliver high‑impact AI solutions with speed and reliability.

In this role, you will be the architect of our ML ecosystem, ensuring that our platform is not only robust and scalable but also a seamless experience for our data scientists and engineers. Success means building a high‑performance, governed environment where production workloads run reliably and innovation is accelerated through standardized, automated workflows.

• Architect cloud‑native platform capabilities that power production ML workloads and support enterprise‑scale adoption
• Drive platform standardization by standing up Sage Maker Unified Studio, including domain configuration, project provisioning, and persona‑based access
• Build and maintain automated MLOps pipelines that streamline data extraction, training, model registration, and deployment
• Govern the ML lifecycle through model versioning, lineage tracking, and cross‑account promotion using Sage Maker Model Registry
• Enable reproducible experimentation by configuring MLflow for robust tracking of parameters, metrics, and artifacts
• Strengthen platform security by implementing identity and access controls with Okta SSO and Sail Point
• Deliver reliable real‑time and batch prediction workflows while proactively monitoring model performance, drift, and data quality
• Own platform observability and operational excellence through Cloud Watch, Datadog, and root cause analysis
• Collaborate across technical and business teams to improve workflows, remove friction, and accelerate delivery of AI solutions

• A bachelor’s degree in a relevant field that provides a strong foundation in software engineering, cloud platforms, or machine learning
• 7+ years of software engineering experience in cloud infrastructure or ML platform operations, with experience navigating complex production environments
• 4+ years of hands‑on AWS experience, including Amazon Sage Maker Studio, Pipelines, Model Registry, Endpoints, and Feature Store
• 3+ years of experience building and operating production MLOps pipelines,…