Sapear Inc
AI/ML Engineer With Materials Science (Contract)
Santa Clarita, California, USA · Mid · Contract
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About the role
- HI, Position: AI/ML Engineer With Materials Science Domain Exp Location: Santa Clara, CA (Day 1 Onsite) We are seeking an AI Scientist/Engineer to join our team in developing and supporting materials discovery and design. The ideal candidate will have strong experience building AI-based solutions for building neural network architecture, attention
- mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable, and automated workflows. Key Responsibilities Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems. Aggregate, process,
Responsibilities
- Design, develop, and maintain data workflows to support materials informatics initiatives.
- Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, Google Cloud Platform, AWS).
- Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
- Document code, workflows, and best practices to support reproducible research.
- Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Requirements
- Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
Skills
- Strong proficiency in programming languages like Python and C++.
- Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Knowledge of generative modeling techniques and architectures (e.g., GANs, VAEs, transformers).
- Knowledge of MLOps, model deployment pipelines, and CI/CD.
- 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles.
- Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
- Expertise in use of cloud-based compute environments and tools for parallel or distributed computing.
- Strong problem-solving and communication skills.
- Thank you, Warm Regards Anup Gupta Account Manager SAP Consulting, IT Staffing & Direct Hire Phone: 346 7700 778 Ext:108
- Engineer With Materials Science Domain Exp Location:
- Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
- Experience with data cleansing, preprocessing, and feature engineering
This listing is sourced directly from Sapear Inc's careers page and normalized into a canonical job model.