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AI/ML Engineer

Clera · San Francisco, United States

Data Science / AI / Machine LearningQuick applyfull-time2 days ago

About The Role

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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