Job description

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Salary: $161,000.00 - $221,000.00 Location: Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities • Develop & Evaluate data science modeling (incl. ML/DL ) algorithms using complex time-series sensor data collected from Semi Equipment • Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains • Develop executable data science solutions delivering differentiated insights to the engineering team • Working with SW engineering team to d evelop data pipeline / modeling pipeline that can be integrated with the Internal Applied platform • Fine tune algorithm performance, troubleshoot and resolve algorithm / modeling pipeline issues • Document algorithmic development, plan and accompany implementation, integration and testing of an algorithmic module • Conduct technical communication with colleagues from multi-teams under fast-paced environment from C&F to productization • Act as a technical tutor and instructor regarding own algorithmic modules. Guide algorithm developers working with him on same module Minimum Qualifications • Master’s degree with 6+ years of demonstrated achievement with hardware-oriented analytics • Strong knowledge of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering • Good u nderstanding of domain knowledge including sensors, semiconductor process, etc. • Experience in data extraction & cleaning, signal processing, and visualization for large datasets • Excellent programming skill s including python, data science packages, React, SQL and more • Able to conduct technical communication with colleagues from globe Business Expertise • P hD degrees with 3+ years demonstrated achievement with time-series data analysis of machinery tools • Hardware or process engineering experience in semiconductor industry • Experience developing data science methods for manufacturing problems Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Requirements

Must-haves

Santa Clara,CA
Develop & Evaluate data science modeling (incl. ML/DL ) algorithms using complex time-series sensor data collected from Semi Equipment
Perform algorithmic C&F for an algorithmic module, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains
Develop executable data science solutions delivering differentiated insights to the engineering team
Working with SW engineering team to d evelop data pipeline / modeling pipeline that can be integrated with the Internal Applied platform
Fine tune algorithm performance, troubleshoot and resolve algorithm / modeling pipeline issues
Document algorithmic development, plan and accompany implementation, integration and testing of an algorithmic module
Conduct technical communication with colleagues from multi-teams under fast-paced environment from C&F to productization
Act as a technical tutor and instructor regarding own algorithmic modules. Guide algorithm developers working with him on same module
Master’s degree with 6+ years of demonstrated achievement with hardware-oriented analytics
Strong knowledge of machine learning, deep learning or other statistical data analysis techniques, such as regression, time series analysis, hypothesis testing, classification, or clustering
Good u nderstanding of domain knowledge including sensors, semiconductor process, etc.
Experience in data extraction & cleaning, signal processing, and visualization for large datasets
Excellent programming skill s including python, data science packages, React, SQL and more
Able to conduct technical communication with colleagues from globe
Business Expertise
P hD degrees with 3+ years demonstrated achievement with time-series data analysis of machinery tools
Hardware or process engineering experience in semiconductor industry
Experience developing data science methods for manufacturing problems
Additional Information
Assignee / Regular
Yes, 10% of the Time

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigomlmachine learningpythonreactsqlaccessibility

Platform: eightfold
Effort: medium