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Wiraa
Wiraa

Machine Learning Engineer, AI

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Automation
AI
Machine Learning
+35

Visa

U.S. visa required

Permanent role
17 days ago
Apply now

About The Company

Honda has a clear vision for the future, and it's a joyful one. We are committed to innovation, sustainability, and technological advancement in the automotive industry. Honda strives to be a company that serves as a source of "power" supporting individuals worldwide in realizing their potential through mobility solutions. Our focus is on developing new technologies and adopting an innovative approach to achieve a "zero environmental footprint." We are dedicated to creating a better future by integrating cutting-edge AI and machine learning solutions into our automotive R&D initiatives, ensuring we remain at the forefront of the industry. Honda values diversity, continuous improvement, and a strong work ethic, seeking qualified individuals from varied backgrounds to join our dynamic team.

About The Role

We are seeking a highly skilled AI/ML Solutions Lead to spearhead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive research and development efforts. This role involves leading end-to-end ownership of production-grade AI systems focused on vehicle development, simulation, manufacturing quality, and digital twin solutions. The successful candidate will mentor engineers, collaborate with cross-functional teams including CAE, CAD, manufacturing, and data platform teams, and ensure the delivery of scalable, reliable AI systems aligned with enterprise standards. The role requires a strategic thinker with deep technical expertise in AI/ML, cloud deployment, and automotive engineering applications.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
  • 8+ years of experience developing and deploying machine learning and AI systems, with at least 3 years in production environments.
  • Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs).
  • Advanced proficiency in Python; knowledge of C++ or Java is a strong plus, especially in 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, including services such as Amazon Bedrock.
  • Familiarity with LangGraph, LangChain, Strands SDK, and MLOps tools like Docker, MLflow, CI/CD pipelines.
  • Knowledge of model governance, compliance, and responsible AI frameworks.
  • Experience with CAE/physics-informed ML, surrogate modeling, or simulation is preferred.
  • Prior automotive or related engineering experience is advantageous.

Responsibilities

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

Benefits

  • Competitive base salary, commensurate with experience and location.
  • Regional bonus eligibility where applicable.
  • Manager Lease Car Program, including car, maintenance, and insurance at no cost.
  • Industry-leading benefits package covering medical, dental, vision, and prescription services.
  • Paid time off, including vacation, holidays, and company shutdown periods.
  • Company-paid short-term and long-term disability insurance.
  • 401(k) plan with company matching contributions and additional company contributions.
  • Relocation assistance for eligible candidates.
  • Career growth opportunities, including advancement, mobility, and ongoing education reimbursement.
  • Training and development programs to support continuous learning.
  • Additional offerings such as lifestyle accounts, childcare and elder care support, tuition assistance, wellbeing programs, and community engagement initiatives.

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.

About Wiraa

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