- Location
- Plano North, United States of America
- Type
- Full-time
- Department
- Engineering
- Experience
- 1+ years
- Education
- Bachelor
- Visa
- Not sponsored
- Closing date
- Today
- Source
- Workday
Description
Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. 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. 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, ‘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 AI/ML Platform Engineer. This role helps build and operate cloud-native platform capabilities that enable enterprise MLOps and LLMOps and support AI/ML and GenAI application delivery. You will contribute hands-on engineering across APIs, services, deployment pipelines, and platform automation, working closely with senior engineers, architecture, platform, data, and product teams.
This is an early-career software engineering role for candidates with 1-3 years of professional experience who are eager to grow their skills and take ownership of features and services in production under the guidance of senior team members.
What you'll be doing
- Design, build, test, and maintain cloud-native platform components and services that support AI/ML and LLM workloads.
- Help implement and operate MLOps and LLMOps capabilities such as model deployment pipelines, monitoring, and operational reliability.
- Build integrations with AWS AI/ML services such as Amazon SageMaker and Amazon Bedrock, along with model registries, vector data stores, model endpoints, and orchestration tooling.
- Help build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation in collaboration with platform and DevOps engineering teams.
- Troubleshoot production issues, analyze system metrics, and support improvements for reliability, latency, and cost.
- Follow engineering standards for code quality, testing, documentation, and Agile delivery.
- Continuously learn evolving AI/ML platform technologies and engineering best practices.
What you bring
- 2 or more years of professional software engineering experience.
- Bachelor's degree or higher in Computer Science, Computer Engineering, or a related technical field.
- Strong programming skills in one or more of the following: Python, or JavaScript/TypeScript.
- Experience building and operating cloud-based applications and services on AWS or similar cloud providers.
- Exposure to DevOps practices such as CI/CD pipelines, version control (Git/GitHub), containers (Docker), and automated deployments.
- Strong analytical, problem-solving, communication, and cross-team collaboration skills.
- Eagerness to learn AI/ML platform engineering and grow under mentorship.
Added bonus if you have
- Hands-on exposure to AI/ML platform tools and patterns (MLOps/LLMOps fundamentals).
- Exposure to GenAI workloads such as RAG pipelines, embedding workflows, prompt orchestration, or model inference services.
- Familiarity with infrastructure-as-code (Terraform, CDK, or CloudFormation).
- Familiarity with AWS AI/ML services (SageMaker, Bedrock).
What we’ll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
- 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 health care 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 (if applicable).
- Paid holidays and paid time off.
- Referral services related to prenatal services, adoption, childcare, schools and more.
- Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA).
- Relocation assistance (if applicable).
Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star.
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.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [email protected].