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.

You must have the right to work in the United States and not require Toyota support or sponsorship for immigration‑related employment. If you will require immigration assistance now or in the future, do not apply for this role.

• 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, including training, versioning, deployment, and rollback strategies
• Proficiency with infrastructure‑as‑code tools such as Terraform, CDK, or Cloud Formation to build repeatable, scalable environments
• Deep understanding of IAM design for ML, including execution roles, service roles, and cross‑account access management
• Strong collaboration and communication skills, with the ability to work independently while partnering effectively across teams
• Added bonus if you have advanced knowledge of Sage Maker Unified Studio, including domain provisioning, custom blueprints, and project standardization
• Hands‑on experience with Sage Maker Feature Store for online and offline feature management
• Experience using Sage Maker Model Monitor for data quality checks, bias detection, and drift detection
• An AWS Machine Learning Specialty certification that demonstrates deeper technical expertise

• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive healthcare and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools, and more
• Tax Advantage Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
• Relocation assistance (if applicable)

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.