Senior Engineer, AI-ML Data Scientist

About the Role

Key Responsibilities

• Gaining a deep understanding of magnetic materials used in recording media and their relationship to recording physics.
• Conducting data analytics to identify correlations between media design, magnetic properties, and recording performance.
• Applying AI/ML techniques to enhance Transmission Electron Microscopy (TEM) image processing and improve characterization of media microstructure.
• Classifying unique material and process designs to train AI/ML models and develop transfer functions for improved media design.
• Developing end-to-end AI/ML workflows, including data pipelines and model pipelines, to automate analytics and predictions.
• Using a specified local LLM (Large Language Model) framework to analyze data, generate hypotheses, and predict material properties.
• Performing analytics to compare experimental results with modeling data to better understand media design direction and recording physics.
• Using findings to propose innovative designs that improve magnetic, microstructural, and thermal performance of HAMR media.
• Leveraging AI/ML to identify opportunities to enhance media R&D predictability and overall process efficiency, from material selection to processing conditions.

Requirements

• Self-motivated and capable of working independently, with excellent verbal and written communication skills.
• Detail-oriented, with a solid foundation in data science and AI/ML applications.
• Collaborative team player with strong interpersonal skills and a demonstrated ability to work productively across functions.
• Bachelor's Degree in Data Science, Material Science, Applied Math, Applied Physics, CS, Electrical Engineering, Chemical Engineering, Neuroscience, or related field with 5+ years of experience, or Master's degree with 3+ years of experience, or PhD with 0+ years of experience, or equivalent education and experience.
• Strong background in data analytics and AI/ML for materials discovery.
• Industrial internship experience in a relevant field.
• Proficiency in programming languages such as Python, JMP, R, SQL, C/C++, CUDA, LabView.
• Knowledge of data analytics (databases, data structures) and AI/ML techniques.
• Understanding of materials science, with material modeling considered a strong plus.
• Fundamentals of magnetic materials and recording physics.
• Ability to communicate clearly and effectively.
• Ability to work independently and collaboratively in a creative environment.

Nice to Have

• Material modeling experience.

Benefits & Perks

• Estimated base salary range of $119,225.60 - $170,501.76, based on location, skills, experience, and education.
• Comprehensive benefits including discretionary bonus program, medical, dental, vision, and life insurance.
• Short- and long-term disability coverage.
• 401(k) plan and employee stock purchase plan.
• Health savings account, dependent care, and healthcare spending accounts.
• Paid time off including 12 holidays, flexible time off, at least 48 hours of paid sick leave, and 16 weeks of paid parental leave.
• Work environment benefits such as wellness programs, gaming rooms, fitness center, social activities, and opportunities to give back to the community.