Data Scientist (Materials Science & AI)

TL;DR

Data Scientist (Materials Science/AI): Developing AI agents and ML models to automate data analysis for materials characterization with an accent on multi-modal laboratory data and scientific reasoning. Focus on designing agent-based architectures, orchestrating multi-step analytical workflows, and extracting insights from spectral datasets.

Location: Sunnyvale, CA, USA

Salary: $115,000 - $180,000 per year

Company

hirify.global is a global leader in engineering and materials testing services with nearly 50 years of experience.

What you will do

• Design and deploy AI agents to automate data ingestion, preprocessing, feature extraction, and report generation.
• Develop scalable data pipelines and agent-based systems to improve laboratory data processing efficiency.
• Apply ML and statistical methods to analyze microscopy, spectroscopy, and diffraction data.
• Implement agent-driven orchestration for autonomous or semi-autonomous scientific data analysis.
• Collaborate with scientists and engineers to translate experimental challenges into AI-augmented solutions.
• Build and validate predictive models for materials characterization and failure analysis.

Requirements

• MS or PhD in Materials Science, Data Science, Engineering, Physics, Chemistry, Applied Mathematics, or a related field.
• Proficiency in Python and scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn).
• Experience developing AI agents, automation frameworks, or LLM-based systems (e.g., LangChain, RAG).
• Experience working with experimental, image, spectral, sensor, or time-series data.
• Strong foundation in statistics and applied machine learning.
• Must be located in or able to work from Sunnyvale, CA, USA.

Nice to have

• Experience with surface analysis or spectroscopy datasets (e.g., XPS, AES, SIMS).
• Familiarity with ML frameworks such as PyTorch or TensorFlow.
• Knowledge of signal processing, spectral deconvolution, or feature extraction for materials data.
• Experience applying deep learning or representation learning to scientific datasets.

Culture & Benefits

• 401k company matching and wellness program.
• Education assistance and fitness reimbursement.
• Volunteer time off and career development programs.
• Inclusive environment emphasizing diversity, authenticity, and mentorship.
• Focus on teamwork and continuous learning in a high-tech scientific setting.