Ai Engineer
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Job Location:
Santa Clara County, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Local applicants only; no sponsorship available.
Job Summary:
- Develop and deploy advanced AI ML and hybrid models for materials discovery and design.
- Aggregate process and quality-control experimental and simulation data for modeling and analysis.
- Design optimize and maintain scalable data workflows and pipelines on cloud platforms (Azure GCP AWS).
- Collaborate with multidisciplinary teams (materials scientists chemists software engineers) to integrate predictive modeling into R&D.
- Document code workflows and best practices for reproducible research.
- Apply AI and data analytics to optimize material synthesis and processing in real-time improving quality and consistency.
- Build materials-informatics pipelines combining simulation (DFT/MD) experimental and manufacturing data.
- Develop deep learning models to forecast physical and chemical properties of materials.
- Utilize strong programming skills (Python C) machine learning frameworks (PyTorch TensorFlow) and cloud computing tools.
- Apply statistical theory data preprocessing feature engineering and generative modeling techniques (GANs VAEs transformers).
- Leverage expertise in MLOps CI/CD and scalable model deployment.
- Require a degree in Computer Science Engineering Applied Math or a related field plus 4 years experience in AI/data science roles.
- Must have foundational knowledge of materials science to enable impactful AI solutions.
- Develop and deploy advanced AI ML and hybrid models for materials discovery and design.
- Aggregate process and quality-control experimental and simulation data for modeling and analysis.
- Design optimize and maintain scalable data workflows and pipelines on cloud platforms (Azure GCP AWS).
- Collaborate with multidisciplinary teams (materials scientists chemists software engineers) to integrate predictive modeling into R&D.
- Document code workflows and best practices for reproducible research.
- Apply AI and data analytics to optimize material synthesis and processing in real-time improving quality and consistency.
- Build materials-informatics pipelines combining simulation (DFT/MD) experimental and manufacturing data.
- Develop deep learning models to forecast physical and chemical properties of materials.
- Utilize strong programming skills (Python C) machine learning frameworks (PyTorch TensorFlow) and cloud computing tools.
- Apply statistical theory data preprocessing feature engineering and generative modeling techniques (GANs VAEs transformers).
- Leverage expertise in MLOps CI/CD and scalable model deployment.
- Require a degree in Computer Science Engineering Applied Math or a related field plus 4 years experience in AI/data science roles.
- Must have foundational knowledge of materials science to enable impactful AI solutions.
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
