Wayve
United States
Research Scientist - Multi-Embodiment Generalist Agent (MEGA)
- AI
- Machine Learning
- Pytorch
AI Summary
Lead the design, development, and deployment of advanced AI/ML solutions for automotive engineering, simulation, and manufacturing. Own the end-to-end AI lifecycle, including MLOps and GenAIOps, using cloud platforms like AWS/Azure. Requires 8+ years of AI/ML experience, hands-on GNN expertise, and strong Python proficiency.
Key Highlights
Lead AI/ML solution development for automotive applications.
Architect and deploy scalable cloud-based AI systems (AWS/Azure).
Implement MLOps, GenAIOps, and agentic AI solutions.
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Key Responsibilities
Lead the development and validation of AI/ML solutions 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 models.
Architect and deploy scalable cloud-based AI systems using AWS and/or Azure.
Own the full AI lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment and monitoring.
Implement MLOps and GenAIOps practices including versioning, drift detection, CI/CD and model traceability.
Develop and deploy agentic AI solutions for CAE workflows in cloud environments.
Build AI agents that execute, augment and monitor engineering workflows.
Support ETL activities relating to CAE data structures.
Establish design standards, coding practices and technical documentation to support reuse and auditability.
Partner with CAE, CAD, manufacturing and data platform teams to deliver production-grade AI solutions.
Mentor and provide technical guidance to mid-level and junior engineers.
Contribute to the adoption of AI and machine learning capabilities across automotive R&D.
Technical Skills Required
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Benefits & Perks
Competitive base salary
Regional bonus
Manager lease car programme
Medical, dental, vision and prescription coverage
Paid vacation, holidays and company shutdown periods
Company-paid short- and long-term disability
401(k) with company match and additional employer contribution
Relocation assistance
Education reimbursement and professional development programmes
Tuition assistance and student loan repayment support
Lifestyle, childcare and elder care support programmes
Wellbeing programme
Community service and engagement programmes
Employee product programmes
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Nice to Have
C++ or Java experience, particularly in automotive environments
Experience with CAE, physics-informed machine learning, surrogate modelling or simulation
Automotive or design engineering experience
Job Description
AI Machine Learning Principal Engineer
Raymond, Ohio | Full-time | Hybrid
A global automotive organisation is seeking an AI Machine Learning Principal Engineer to lead the design, development and deployment of advanced AI and machine learning solutions across automotive engineering, simulation, manufacturing quality and digital twin applications. The role owns AI solutions end-to-end while providing technical leadership and mentoring engineers across cross-functional teams.
Key Responsibilities
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