Company
Engineering
AI/MLEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI/ML Engineer. Skills: AI, Machine Learning, Simulation. Design machine learning models. Train machine learning models”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Proficiency in software development, Proficiency in programming languages, Knowledge of AI, Knowledge of machine learning, Knowledge of data analysis techniques, Understanding of engineering principles, Bachelor's degree in Computer Science, Bachelor's degree in Mechanical Engineering, Bachelor's degree in Electrical Engineering, Bachelor's degree in a related field, Ability to work collaboratively, Ability to communicate technical concepts, Problem-solving skills, Attention to detail
Nice to Have
Experience with computer-aided engineering, Experience with computer-aided design, Experience with product lifecycle management tools, Experience working in a fast-paced startup environment
What You'll Do.
Design machine learning models
Train machine learning models
Deploy machine learning models
Integrate machine learning into pipelines
Work on adaptive solvers
Work on reduced-order modeling
Work on generative design
Work on real-time validation
Collaborate with engineering experts
Collaborate with applied AI experts
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Communicate technical concepts
Full Job Description
ABOUT THE ROLE You'll shape the future of computer-aided engineering by building AI that thinks like an engineer. As an AI/ML Engineer, you'll design, train, and deploy models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve. You'll work alongside experts in engineering and applied AI to integrate machine learning directly into high-fidelity simulation pipelines — helping customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare chance to join early and make a foundational impact at a company reimagining CAE for the AI era. WHAT YOU'LL DO - Design, train, and deploy machine learning models for simulation and engineering applications - Integrate machine learning into high-fidelity simulation pipelines - Work on adaptive solvers, reduced-order modeling, generative design, and real-time validation - Collaborate with engineering and applied AI experts to advance CAE capabilities WHAT WE'RE LOOKING FOR - Proficiency in software development and programming languages (e.g., Python, C++, or Java) - Strong knowledge of AI, machine learning, and data analysis techniques - Understanding of engineering principles in simulation, modeling, and optimization - Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field - Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively - Problem-solving skills and attention to detail with demonstrated project success - Bonus: Experience with computer-aided engineering (CAE), computer-aided design (CAD), and product lifecycle management (PLM) tools - Bonus: Experience working in a fast-paced, startup environment
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