AI/ML Engineer

Clera

San Francisco, USonsitePosted Jul 1, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

pythonc++javaml

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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