- 经验
- 3年以上
- 薪水
- —
- 职位空缺
- 1
- 发布
- 4小时前
- 工作模式
- 在家办公
- 学历
- Bachelor's degree or higher in relevant field
- 恢复
- 需要申请
职位描述
About the Role
Join SIMCON in revolutionizing plastic injection molding simulation with Cadmould AI Solver, the first Large Engineering Model using transformer-based neural physics providing simulation results up to 1,000 times faster than traditional methods. You will contribute to building and improving this cutting-edge AI model, enabling real-time exploration for engineers. This position can be based at our Würselen office near Aachen or remotely within Germany, with occasional travel for team events and onsite meetings.
Key Responsibilities
- Collaborate with research engineers and domain specialists to enhance the AI Solver's model architecture, training processes, datasets, and evaluation metrics.
- Design and conduct experiments to analyze model behavior, document findings methodically, and apply improvements to enhance accuracy and generalization.
- Communicate results effectively, ensuring reproducibility and shared technical understanding within the team.
- Develop and improve training, evaluation, and deployment workflows and infrastructure supporting the AI platform.
- Participate in broader team activities beyond model development, including AI service implementations and experimental product features.
Required Qualifications
- Academic background in Machine Learning, Physics, Computational Engineering, Applied Mathematics, or closely related areas, with at least 3 years of relevant industry experience or equivalent personal/research projects.
- Strong foundational knowledge of machine learning, with hands-on experience in PyTorch, TensorFlow, or equivalent frameworks and proficiency in data processing libraries like NumPy.
- Ability to implement research insights into practical models and a deep understanding of model behaviors.
- Systematic and organized approach to work, including thorough experiment documentation and the ability to communicate insights clearly.
- Experience leveraging coding agents effectively as part of your development workflow.
- Fluency in English is essential; knowledge of German is advantageous.
Preferred Skills
- Experience with transformers or sequence modeling architectures.
- Familiarity with geometric deep learning, graph neural networks, or machine learning on structured 3D data such as point clouds or meshes.
- Background in scientific machine learning, surrogate modeling, or physics-based data applications.
- Experience with cloud platforms for machine learning workloads including training and deployment.
- Proficiency with experiment tracking/versioning tools (MLflow, Weights & Biases, DVC) and solid software engineering practices like testing, version control, and containerization.
Why Work With Us?
- Engage with a challenging technical problem at the intersection of AI and industrial simulation, redefining an established simulation engine for cloud and AI-driven markets.
- Take significant ownership and impact within a compact team of about 40 people, where your decisions shape both product and business strategy.
- Utilize modern tools such as Notion, GitHub, Linear, and coding agents, contributing to the development of efficient engineering practices.
- Experience a culture of honesty and direct communication with no micromanagement, encouraging constructive feedback.