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Machine Learning Engineer

Full Time · In Office · USA

Posted Oct 4, 2026

About The Company

Honda Dev. and Mfg. of Am., LLC is a globally recognized leader in automotive innovation, committed to shaping the future of mobility through cutting-edge technology and sustainable practices. With a rich legacy of excellence, Honda Dev. and Mfg. of Am., LLC strives to deliver high-quality vehicles and solutions that enhance the lives of people around the world. The company fosters a culture of continuous improvement, diversity, and inclusion, encouraging employees to bring their unique perspectives and expertise to drive innovation. Honda Dev. and Mfg. of Am., LLC is dedicated to achieving a zero environmental footprint by developing eco-friendly technologies and promoting responsible manufacturing practices. As part of Honda's global network, the organization offers a dynamic and collaborative work environment where employees are empowered to make a meaningful impact in the automotive industry.

About The Role

We are seeking a highly skilled and innovative AI/ML Solutions Architect to join Honda Dev. and Mfg. of Am., LLC. In this pivotal role, you will lead the design, development, and deployment of advanced artificial intelligence and machine learning solutions that support our automotive research and development initiatives. Your expertise will be instrumental in creating production-grade AI systems for vehicle development, simulation, manufacturing quality assurance, and digital twin technologies. You will own the entire AI lifecycle—from data ingestion and feature engineering to model training, evaluation, deployment, and ongoing monitoring. Collaborating with cross-functional teams including CAE, CAD, manufacturing, and data platforms, you will mentor engineers and ensure the delivery of scalable, reliable, and innovative AI solutions that drive Honda’s technological advancements and sustainability goals.

Qualifications

The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, along with extensive practical experience. You should have at least 8+ years of experience developing and deploying ML/AI systems, with a minimum of 3+ years in production environments. Deep expertise in graph neural networks (GCNNs, GNNs, GATs, MPNNs), proficiency in Python, and familiarity with C++ or Java for automotive applications are essential. Strong knowledge of ML frameworks such as PyTorch, TensorFlow, and scikit-learn is required, complemented by a solid foundation in statistics, optimization, and numerical methods. Experience deploying AI solutions on cloud platforms like AWS or Azure, including services like Amazon Bedrock, is highly desirable. Additional skills include experience with MLOps tools (Docker, MLflow, CI/CD), model governance, responsible AI frameworks, and familiarity with physics-informed ML, surrogate modeling, or simulation work. Prior experience in automotive or design engineering is a plus, as is knowledge of LangGraph / LangChain & Strands SDK.

Responsibilities

  • Lead the development and validation of impactful AI/ML solutions tailored for automotive engineering, CAE, and manufacturing use cases.
  • Design and implement AI surrogate models utilizing Graph Convolutional Neural Networks (GCNNs) to enhance or replace traditional physics-based CAE simulations.
  • Architect and deploy scalable cloud-based AI systems on AWS or Azure, ensuring compliance with enterprise governance standards.
  • Manage the full AI lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, and continuous monitoring.
  • Implement best practices in MLOps and GenAIOps, including version control, drift detection, CI/CD pipelines, and traceability.
  • Develop agentic AI solutions for CAE workflows, deploying AI agents in the cloud to execute, augment, and monitor engineering processes.
  • Support ETL activities related to ADC data structures, ensuring data quality and consistency.
  • Establish and enforce design standards, code quality, and documentation practices to facilitate reuse and auditability.
  • Mentor and provide technical guidance to mid-level and junior engineers, fostering a culture of learning and innovation.

Benefits

Honda Dev. and Mfg. of Am., LLC offers a comprehensive benefits package designed to support the health, well-being, and professional growth of our employees. Competitive base salary, regional bonuses where applicable, and a manager lease car program that includes vehicle maintenance and insurance are part of our total rewards. Employees enjoy industry-leading medical, dental, vision, and prescription drug coverage, along with paid time off, holidays, and company shutdown periods. We provide short-term and long-term disability coverage, a 401(k) plan with company matching contributions, and relocation assistance for eligible candidates. Our commitment to career development includes opportunities for advancement, career mobility, education reimbursement, and specialized training programs. Additional offerings include lifestyle accounts, childcare and elder care support, tuition assistance, wellbeing programs, community engagement initiatives, and product programs aimed at enhancing work-life balance and personal growth.

Equal Opportunity

Honda Dev. and Mfg. of Am., LLC is an equal opportunity employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration 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 characteristic. We believe diversity enriches our workplace and drives innovation, and we welcome applicants from all backgrounds to join our team in bringing the future of mobility to life.

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Machine Learning Engineer

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