AI/Data Science Process Engineer — Hybrid

LAM RESEARCH Corporation; Fremont (CA); Hybrid; USD 86,000 - 183,000; Full time

Benefits offered by this job

On-site Flex

Virtual Flex

Job summary

Lam Research seeks a process engineer specializing in AI and data science embedded in an experimental-focused team. You will design, develop, and program methods to analyze unstructured data into actionable insights, while engaging in lab experimentation on Lam’s products to generate data input for analysis.

You will develop algorithms and automated processes to evaluate complex data sets, and communicate results to stakeholders.

Qualifications

• Ph.D. or Master’s degree in chemical engineering, materials science, chemistry or engineering physics with a strong background in advanced data science and machine learning.
• Demonstrated expertise in data science, machine learning, artificial intelligence or advanced analytics.
• Experimental laboratory experience to refine data collection and analysis.

Responsibilities

• Perform professional process engineering research, development, and evaluation for semiconductor capital equipment and systems.
• Balance between advanced data science and hands-on experimentation from concept to onsite evaluation.
• Develop predictive models from early experiments to infer physical mechanisms within a multi-disciplinary team.
• Develop advanced test vehicles and apply systematic root cause analysis.
• Compile and evaluate test data to determine limits and variables for process specifications.
• Communicate technical results clearly to diverse audiences.

Skills

Data science

Machine learning

Experimental laboratory experience

Communication skills

Education

Ph.D./Master’s in relevant field

Job description

Lam Research seeks a process engineer specializing in AI and data science embedded in an experimental-focused team. You will design, develop, and program methods to analyze unstructured data into actionable insights, while engaging in lab experimentation on Lam’s products to generate data input for analysis.

You will develop algorithms and automated processes to evaluate complex data sets, and communicate results to stakeholders.