Machine Learning Engineer
Job Description
Toyota's Manufacturing Data & Tech Enablement team is seeking a Machine Learning Engineer to revolutionize their production systems through advanced analytics and AI-driven innovation. This role is crucial in transforming manufacturing data into actionable insights and supporting the Toyota Production System (TPS) principles through technology. The position involves developing end-to-end ML pipelines, implementing MLOps best practices, and working with various stakeholders to deliver impactful solutions.
The ideal candidate will work at the intersection of manufacturing operations and cutting-edge AI, developing and maintaining infrastructure systems including data warehouses, data lakes, and APIs. They will be responsible for deploying models into production environments integrated with manufacturing systems. The role requires expertise in cloud platforms, database management, and proven experience in building production-grade ML solutions.
Toyota offers a comprehensive benefits package including healthcare, 401(k) with company match, professional development opportunities, and unique automotive benefits like vehicle purchase discounts. The company culture emphasizes teamwork, respect, and innovation, making it an ideal place for those who want to make a significant impact in the automotive industry through AI and machine learning technologies.
Working at Toyota means joining one of the world's most respected automotive companies, with a strong focus on future mobility solutions. The company values diversity, promotes work-life balance, and provides numerous opportunities for career growth. This role offers the chance to work on cutting-edge ML applications in manufacturing while being part of a team that's shaping the future of automotive technology.
Responsibilities For Machine Learning Engineer
- Design, build, and deploy robust ML models from data ingestion to production deployment
- Implement MLOps best practices including CI/CD for ML, monitoring, retraining pipelines, and model governance
- Build experimental prototypes to test different machine learning approaches
- Work with data scientists, business analysts, and manufacturing SMEs
- Apply software engineering principles for maintainable and scalable ML systems
Requirements For Machine Learning Engineer
- 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
- 3-5+ years experience with both relational and non-relational databases
- Experience in building production-grade ML solutions
Benefits For Machine Learning Engineer
- Professional growth and development programs
- Tuition reimbursement
- Team Member Vehicle Purchase Discount
- Toyota Team Member Lease Vehicle Program
- Comprehensive health care and wellness plans
- Flexible work options
- 401(k) Savings Plan with company match
- Paid holidays and paid time off
- Health Savings Account
- Health Care FSA
- Dependent Care FSA
