Toyota Motor Corporation

Toyota Motor Corporation

Senior ML Platform Engineer

Plano, Texas · Senior

No sponsorshipDetected 2 days ago
AWSCloud PlatformsTerraformDatadogPlatform EngineeringMachine LearningMLOpsA/B TestingLeadershipCommunicationCollaboration

About the role

  • These are just a few words that describe what life is like at Toyota.
  • We're looking for talented team members who want to Dream.
  • An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America.

Responsibilities

  • 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 SageMaker 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
  • Deliver reliable real-time and batch prediction workflows while proactively monitoring model performance, drift, and data quality
  • Own platform observability and operational excellence through CloudWatch, Datadog, and root cause analysis
  • Collaborate across technical and business teams to improve workflows, remove friction, and accelerate delivery of AI solutions
  • 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.

Requirements

  • 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 SageMaker Studio, Pipelines, Model Registry, Endpoints, and Feature Store
  • 3+ years of experience building and operating production MLOps pipelines, including training, versioning, deployment, and rollback strategies
  • Proficiency with infrastructure-as-code tools such as Terraform, CDK, or CloudFormation to build repeatable, scalable environments
  • Strong collaboration and communication skills, with the ability to work independently while partnering effectively across teams
  • Advanced knowledge of SageMaker Unified Studio, including domain provisioning, custom blueprints, and project standardization
  • Hands-on experience with SageMaker Feature Store for online and offline feature management
  • Experience using SageMaker Model Monitor for data quality checks, bias detection, and drift detection

Compensation

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute

Benefits

  • A bachelor's degree in a relevant field that provides a strong foundation in software engineering, cloud platforms, or machine learning

Company info

  • Collaborative.
  • A place to dream and do.
  • As 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.
  • Grow. with us.
  • 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.
  • 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.
  • Who we're looking for
  • 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 SageMaker 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.

Visa & Work Authorization

  • 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.
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This listing is sourced directly from Toyota Motor Corporation's careers page and normalized into a canonical job model.