AI Machine Learning Engineer

About The Company Honda has a clear vision for the future, and it is a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! About The Role The role involves leading the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive research and development initiatives. The focus is on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins. The successful candidate will own solutions end-to-end and mentor engineers while partnering with CAE, CAD, manufacturing, and data platform teams. This role requires a hands-on leader who can architect scalable AI systems, implement MLOps best practices, and drive measurable impact in automotive engineering and manufacturing use cases. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs).Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts.Deep expertise in ML frameworks such as PyTorch, TensorFlow, and scikit-learn.Strong foundation in statistics, optimization, and numerical methods.Experience deploying AI solutions on cloud platforms like AWS or Azure (e.g., Amazon Bedrock).Familiarity with LangGraph, LangChain, and Strands SDK.Experience with containers, pipelines, and MLOps tooling including Docker, MLflow, and CI/CD.Knowledge of model governance, compliance, and responsible AI frameworks.Experience in CAE/physics-informed ML, surrogate modeling, or simulation is preferred.Prior knowledge of automotive or related design engineering work is a plus. Responsibilities Lead development and validation of AI/ML solutions with measurable impact for automotive engineering, CAE, and manufacturing use cases.Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment or replace physics-based CAE.Architect and deploy scalable cloud-based AI systems on AWS or Azure aligned with enterprise governance standards.Own the full AI lifecycle including data ingestion, feature engineering, training, evaluation, deployment, and monitoring.Implement MLOps and GenAIOps best practices such as versioning, drift detection, CI/CD, and traceability.Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute, augment, and monitor workflows.Support ETL activities related to ADC data (CAE) structures.Establish design standards, code quality, and documentation to support reuse and auditability.Mentor and provide technical guidance to mid-level and junior engineers. Benefits Competitive base salary, with pay based on geographic location, work experience, and other variables.Regional bonus when applicable.Manager lease car program including car, maintenance, and insurance at no cost.Industry-leading medical, dental, vision, and prescription drug benefit plans.Paid time off including vacation, holidays, and company shutdown periods.Company-paid short-term and long-term disability coverage.401(k) plan with company match plus additional contributions.Relocation assistance for eligible candidates.Advancement opportunities and career mobility.Education reimbursement for continued learning.Comprehensive training and development programs.Lifestyle account, childcare reimbursement, elder care support, tuition assistance, and student loan repayment programs.Wellbeing programs and community service and engagement initiatives.Employee product programs. Equal Opportunity Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.