- Salary
- $161k – $221k
- Location
- Santa Clara, CA,US, US
- Type
- Full-time
- Department
- IT
- Education
- PhD
- Source
- Eightfold
Description
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 develop 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 understanding of domain knowledge including sensors, semiconductor process, etc.
- Experience in data extraction & cleaning, signal processing, and visualization for large datasets
- Excellent programming skills including python, data science packages, React, SQL and more
- Able to conduct technical communication with colleagues from globe
Business Expertise
- PhD 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
## Qualifications
### Education:
Bachelor's Degree
### Skills
### Certifications:
### Languages:
### Years of Experience:
2 - 4 Years
### Work Experience:
## Additional Information
###
### Shift:
10-Day 8-Hr (United States of America)
###
### Travel:
Yes, 10% of the Time
###
### Relocation Eligible:
Yes
### Referral Payment Plan:
Employee Referral (Standard)
Salary Range:
$161,000.00 - $221,000.00
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 committed to diversity in the workplace. All 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.