Machine Learning Engineer

Overview

Who we are

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position currently.

Who We're Looking For

Toyota’s Manufacturing Data & Tech Enablement team is on a mission to modernize and optimize our production systems through advanced analytics and AI-driven innovation. We are seeking a highly skilled Machine Learning Engineer to design, develop, and operationalize end-to-end machine learning pipelines that solve high-impact manufacturing problems. This role will be central to transforming large-scale data into actionable insights, enabling smarter decision-making on the shop floor, and supporting Toyota Production System (TPS) principles through technology.

The ideal candidate thrives at the intersection of manufacturing operations and cutting-edge AI, is capable of working autonomously, and is passionate about deploying scalable, maintainable, and production-ready ML solutions in a fast-paced, data-rich environment. The potential candidate applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources, creates data collection frameworks for structured and unstructured data, develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs, and deploy models into production environments integrated with manufacturing systems.

What You'll Be Doing

• Developing End-to-End ML Pipeline design, build, and deploy robust ML models from data ingestion to production deployment, ensuring automation, scalability, and maintainability

• Implement MLOps best practices including CI/CD for ML, monitoring, retraining pipelines, and model governance

• Building experimental prototypes to test different machine learning approaches and validate concepts before full implementation

• Working closely with data scientists, business analysts, and manufacturing SMEs to understand project requirements, interpret results, and communicate insights effectively

• Applying software engineering principles like version control, code review, and modular design to ensure the maintainability and scalability of machine learning systems

• Staying current with AI/ML advancements, particularly in manufacturing and industrial IoT domains

What You Bring

• Demonstrated experience in building production-grade ML solutions with measurable business impact

• 3+ years working as a Machine Learning Engineer or equivalent experience

• 3+ years experience with big data platforms and Industrial IOT time-series data

• 3-5+ years experience with cloud data platforms like AWS, Azure, or GCP to leverage cloud-based data storage and processing capabilities

• 3-5+ years experience with both relational (RDBMS) and non-relational (NoSQL) databases

• Ability to collaborate with data scientists, analysts, and other stakeholders to understand their data needs and translate them into technical solutions

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

• Flexible work options based on business needs

• 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 Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

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. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong.

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 talent.acquisition@toyota.com.