Senior ML Platform Engineer
Toyota USA9 days ago
Plano, TX, USASenior
Responsibilities
- Architect cloud-native platform capabilities for production machine learning workloads.
- Configure and standardize AWS SageMaker Unified Studio, including domains, projects, blueprints, and persona-based access.
- Build and operate automated MLOps pipelines for data extraction, training, model registration, deployment, and rollback.
- Govern model versioning, lineage tracking, and cross-account promotion through SageMaker Model Registry.
- Configure MLflow to support reproducible experimentation and 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 delivery of AI solutions.
Requirements
- Bachelor’s degree in a relevant field related to software engineering, cloud platforms, or machine learning.
- At least 7 years of software engineering experience in cloud infrastructure or ML platform operations.
- At least 4 years of hands-on AWS experience, including SageMaker Studio, Pipelines, Model Registry, Endpoints, and Feature Store.
- At least 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, including domain provisioning, custom blueprints, and project standardization, is preferred.
- Hands-on SageMaker Feature Store experience is preferred.
- SageMaker Model Monitor experience with data quality, bias, and drift detection is preferred.
- AWS Machine Learning Specialty certification is a preferred qualification.
Benefits
- Teamwork-focused, 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 employees and families.
- Toyota 401(k) Savings Plan with company match and, if applicable, an annual retirement contribution regardless of employee contributions.
- 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.
Categories
About Toyota USA
Toyota USA (Toyota Motor North America) manufactures and sells Toyota cars, trucks, and SUVs for U.S. customers, and provides financing and mobility services. Founded in 1957 and headquartered in Plano, Texas, it oversees North American operations and plants that build models like the Camry and Tundra, and is expanding battery and EV production in Kentucky and North Carolina.