AI/ML Engineer
Clera · San Francisco
- On site
- Fulltime
- San Francisco
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Subject: Interested in the AI/ML Engineer role at Clera
Hi Alex — I came across the AI/ML Engineer opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Clera stood out because…
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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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