AI Engineer

3 settimane fa

Torino, Italia Innovative Numerics LLC A tempo pieno

Job Title: CAE Machine Learning Engineer
Location: Remote

We are seeking a CAE Machine Learning Engineer to help accelerate Innovative Numerics’ product roadmap by designing, building, and validating capabilities for structural simulation and mechanical design workflows. This role spans applied research, software development, and customer-facing technical work, including testing, pre-sales support, and consulting.

building tools and test harnesses
Customs software development with Abaqus
On applying machine learning and deep learning to mechanical design, structural simulation, and optimization problems; Develop and integrate prototypes/frameworks: using strong software engineering practices and deep learning libraries; contribute directly to product plans and timelines.

Strong hands-on experience with Python for scientific/engineering computing.
* CAE/FEA experience and terminology (meshing, BCs, material models, solver outputs, interpretation)
* Comfort working across research + engineering + customer needs in a fast-moving environment.
* Ability to work independently in a fully remote setting with cross-time-zone collaboration.

Machine Learning, PyTorch
* Practical experience developing ML/DL solutions (training, evaluation, data pipelines, reproducibility).
* Fully remote role.
* Flexible working hours with some overlap with US team

Innovative Numerics LLC is a specialized engineering technology company focused on advanced simulation, computational mechanics, and applied AI in the cloud. Since 2013, we have helped leading consumer, technology, and industrial companies solve complex engineering problems. We work at the intersection of AI/ML, cloud infrastructure, and physics‑based simulation, in a small, high‑caliber team environment where engineers and researchers have real ownership, see the impact of their work quickly, and collaborate closely across predictive technologies, software, and infrastructure.


Job Types: Part-time, Contract, Internship

Work Location: Remote

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