CAE Machine Learning Intern
4 giorni fa
Job Title
CAE Machine Learning Engineer (Fully Remote – Europe)
Company: Innovative Numerics (US-based)
Location: Europe (Fully Remote)
Role Summary
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.
Responsibilities
You will contribute to one or more of the following:
Review and synthesize literature: On applying machine learning and deep learning to mechanical design, structural simulation, and optimization problems; summarize best approaches and practical learnings for product use.
Propose ML/DL architectures and workflows: that capture domain-specific heuristics for structural simulation and design optimization across diverse problem classes.
Develop and integrate prototypes/frameworks: using strong software engineering practices and deep learning libraries; contribute directly to product plans and timelines.
Validate and benchmark methods on representative datasets, benchmarks, and real-world customer use cases; document performance and limitations.
Support product acceleration activities, which may include:
* building tools and test harnesses
* improving reliability, performance, and usability
* creating demos and technical collateral
* assisting with **pre-sales** technical discussions and evaluations
* contributing to **consulting** engagements (problem framing, workflow setup, results interpretation)
Qualifications
Required:
* Strong hands-on experience with Python for scientific/engineering computing.
* Practical experience developing ML/DL solutions (training, evaluation, data pipelines, reproducibility).
* 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.
Nice to Have Skills
CAE background: with exposure to structural simulation workflows
Machine Learning, PyTorch
Structural mechanics / computational mechanics
FEA experience and terminology (meshing, BCs, material models, solver outputs, interpretation)
Abaqus FEA experience (running jobs, post-processing, automation, scripting, workflows)
What We Offer
* Fully remote role based in Europe
* Opportunity to shape product direction at the intersection of ML and CAE
* Competitive compensation (based on experience and engagement type)
* Flexible working hours with some overlap with US team
About Innovative Numerics
Innovative Numerics is a US-based company developing next-generation computational engineering solutions that combine CAE workflows with modern machine learning to accelerate simulation-driven design and optimization.
Job Types: Full-time, Internship, Contract, Permanent
Contract length: 3-12 months
Pay: €1, €4,000.00 per month
Work Location: Remote
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