AI / ML Research Scientist
Role Description & Responsibilities
Join us in shaping the future of data-driven machine learning for accelerated numerical simulations. Our R&D Multiphysics Science & Technology group is seeking a highly motivated AI / Machine Learning Researcher eager to transform traditional physics-based simulations with cutting-edge neural network algorithms.
In this full-time role, you will focus on developing and refining neural network algorithms trained on historical data derived from physics-based numerical simulations (e.g., finite elements or finite volumes). Your work will be instrumental in advancing geometric and physics deep learning R&D to create 3D surrogate models for industrial and life science applications.
Key Responsibilities:
- Research and develop innovative non-parametric machine learning methods for accelerating physics-based simulations.
- Design, train, validate, and optimize neural networks using state-of-the-art ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Evaluate the predictive trustworthiness and computational efficiency of ML models compared to traditional physics-based simulations.
- Tackle high-impact real-world challenges in design, manufacturing and life sciences.
- Collaborate with global industry leaders, research institutions, and multidisciplinary teams.
- Stay ahead of emerging trends in geometric deep learning, physics-informed AI, and computational methods.
- Help develop data pipelines for data curation from diverse sources, both client-provided and internal.
- Contribute to software development activities for proof of concept towards productization in Python or C++.
- Document and maintain models, experiments, practices and findings for software production and/or publications (conferences/journals).
Qualifications
- PhD in Computational Methods, Computer Science, Machine Learning, or a related field. 3-6 years of relevant experience is a plus.
- Deep expertise in neural network algorithm development and geometric encoding for physics PDE deep learning.
- Strong foundation in physics-based modeling and numerical methods & simulations (a plus!).
- Advanced proficiency in Python or C++, with hands-on experience using ML frameworks such as PyTorch, TensorFlow, or JAX.
- Demonstrated experience in scientific software development with modern C++ and Agile development (a plus!).
- Strong analytical and problem-solving skills with a keen eye for optimizing model efficiency, accuracy, and scalability.
- Experience with large scale commercial software configuration management, data structures, and algorithms related to Computer-Aided Engineering (CAE) software (a plus!).
If you are ready to push the frontiers of scientific computing with machine learning, we want to hear from you. Apply today and be part of a team that is reshaping engineering simulations for the next generation!
If applying to this position please be sure to provide a detailed CV including all research work, publications, and work experience.
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $116,300 and $218,500, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Déclaration de diversité
Rémunération & Avantages
Optimisé par la plate-forme 3DEXPERIENCE®, SIMULIA offre des applications de simulation réaliste qui permettent de révéler le monde dans lequel nous vivons.