Materials Science AI Engineer (PhD Required)

Santa Clara, CA, US • Posted 23 hours ago • Updated 23 hours ago

Contract W2

Contract Independent

Contract Corp To Corp

No Travel Required

Able to Sponsor

On-site

Depends on Experience

American IT Systems

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Job Details

Skills

Materials Science AI Engineer (PhD Required)

Summary

Materials Science AI Engineer (PhD Required)

Location: Santa Clara, CA
Work Mode: 5 Days Onsite

Overview

We are seeking an Materials Science AI Engineer (PhD Required) to join our team in developing and supporting materials discovery and design initiatives. The ideal candidate will have strong experience building AI-based solutions, including neural network architectures, attention mechanisms, multi-modal learning, data aggregation and structuring, statistical modeling, and cloud-based compute for parallelized, scalable, and automated workflows.

Must-Have Skills

Strong proficiency in programming languages such as Python and C++
Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with data cleansing, preprocessing, and feature engineering
Ability to design, develop, and deploy multi-modal AI/ML and hybrid physics-based models to solve cutting-edge materials science and design problems

Key Responsibilities

Design, develop, and deploy multi-modal AI/ML and hybrid physics-based models to solve groundbreaking problems in materials physics and design
Aggregate, process, transform, and quality-control experimental and simulation data for modeling and analysis
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 to minimize defects and improve consistency

Qualifications

PhD in Materials Science, Computer Science, Engineering, Applied Mathematics, or a related technical field
2–4 years of experience (depending on degree level) in data science, AI, machine learning, or data engineering
Strong foundation in materials science to define meaningful AI-driven research problems
Expertise in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
Experience with cloud-based computing environments and tools for parallel or distributed computing
Strong problem-solving and communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91163020
Position Id: 8898391
Posted 23 hours ago

Company Info

About American IT Systems

American IT Systems Staffing Fastest growing Recruitment firm helping clients hire the best quality candidates faster across the globe.

We provide services starting from Temporary Staffing & Permanent Recruitment to management consulting. We specialize in Technology, Product & Design hiring headhunting & sourcing passive resources using cutting edge technology & tools

Our Aim

Hiring and recruiting top talent can be a challenging, time-intensive process. Client organizations recognize the value in saving time, money and preventing unnecessary burden on internal staff by outsourcing certain hiring needs. It can also send a strong message to top professionals they will spare no expense in finding and hiring the best talent possible..

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