Toyota North America

Senior ML Platform Engineer

Toyota North America
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5 days ago
Plano, TX, USASenior

Responsibilities

  • Architect cloud-native platform capabilities for production machine learning workloads and enterprise-scale adoption.
  • Stand up and standardize SageMaker Unified Studio through domain configuration, project provisioning, and persona-based access.
  • Build and maintain automated MLOps pipelines for data extraction, training, model registration, deployment, and rollback.
  • Govern the ML lifecycle through model versioning, lineage tracking, and cross-account promotion using SageMaker Model Registry.
  • Configure MLflow for reproducible experiment tracking of parameters, metrics, and artifacts.
  • Implement ML identity and access controls using Okta SSO and SailPoint.
  • Deliver and monitor real-time and batch prediction workflows, including model performance, drift, and data quality monitoring.
  • Own platform observability and operational excellence using CloudWatch, Datadog, and root cause analysis.
  • Collaborate with technical and business teams to improve workflows and accelerate AI solution delivery.

Requirements

  • Bachelor’s degree in a relevant field supporting software engineering, cloud platforms, or machine learning.
  • 7+ years of software engineering experience in cloud infrastructure or ML platform operations.
  • 4+ years of hands-on AWS experience, including SageMaker Studio, Pipelines, Model Registry, Endpoints, and Feature Store.
  • 3+ years of experience building and operating production MLOps pipelines covering training, versioning, deployment, and rollback.
  • Proficiency with infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.
  • Deep understanding of IAM design for ML, including execution roles, service roles, and cross-account access management.
  • Strong collaboration and communication skills and the ability to work independently.
  • Advanced SageMaker Unified Studio knowledge, SageMaker Feature Store experience, SageMaker Model Monitor experience, and an AWS Machine Learning Specialty certification are preferred.

Benefits

  • Team-oriented, flexible, and respectful work environment.
  • Professional growth and development programs with tuition reimbursement.
  • Team Member Vehicle Purchase Discount and, if applicable, Toyota Team Member Lease Vehicle Program.
  • Comprehensive health care and wellness plans for the employee’s family.
  • Toyota 401(k) Savings Plan with company match and, if applicable, an annual employer retirement contribution.
  • Paid holidays and paid time off.
  • Referral services for prenatal services, adoption, childcare, schools, and related needs.
  • Tax-advantaged Health Savings Account, Health Care FSA, and Dependent Care FSA.
  • Relocation assistance if applicable.

Tech Stack

AWSDatadogMLflowTerraform
Toyota North America

About Toyota North America

10,000+ employees

At Toyota, we’re known for making some of the highest quality vehicles on the road. But there is more to our story. We believe in putting people first and creating opportunities for our team members to build careers as unique as they are. As one of the world’s most admired brands, we are leading the way to the future of mobility, so everyone can move freely, happily and comfortably. We have big dreams and believe that nothing is impossible. Ready to Dream, Do and Grow with us?

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