Director - Algorithm Development
Job Expectations
The candidate will be responsible for leading a team of data scientists who provide analytics services for Applied Materials' installed base. The deliverables include developing new service capabilities, piloting them, and commercializing them in partnership with Engineering and Service Product Managers. The team will work with field engineers and product engineering teams to understand the requirements, bring forward creative ideas, develop proofs-of-concept, architect, design, develop, and modify algorithms into production code, provide production support, and train end-users. The skill sets in the team include descriptive statistical analysis, predictive statistical analysis using AI/ML, data visualization and analytics process automation, data cleansing, complex image processing, and text processing. Candidate should be willing to learn and adopt semiconductor industry as their career domain.
Key Responsibilities
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Responsible for managing completion of assignments, projects and programs to support Applied's service business. Scope of algorithm development includes research, design, code development, implementation, and proliferation. Execute projects as needed to support the business. Review and monitor progress to milestones on development programs. Develop roadmaps for algorithmic development programs. Oversee algorithmic concept and feasibility for algorithmic modules, including problem statement definition, data gathering, literature review, concept selection, risks, and implementation constraints. Oversee documentation of algorithmic development and deployment, including integration into required systems, user testing, and user training. Oversee software and hardware implementation. Interact with internal and external customers to define gaps, identify opportunities, define program scope and deliverables, and proliferate solutions to the user base. Present to management for project reviews, interact with project stakeholders, run regular cadence meetings and work in alignment with team and organization goals. Responsible for technical development of team, objective setting, and performance management. Develop growth plan for the team, including identification of new areas of impact.
Requirements
Preferred programming and data science skills include: Python, C++, Unix, Image Processing, Deep Learning, AI/ML, NLP, GenAI, Text Mining, Database Design and Management, Web Scraping, GPU Optimization. Proficient in business processes and software such as Microsoft Word/ Excel/ Powerpoint/ Teams, Atlassian JIRA and Confluence. Highly organized and detail-oriented. Ability to build and maintain positive and productive inter-departmental working relationships. Ability to work in a cross-functional organization and multitask on multiple projects. Drive team members to deliver programs on time and on budget. Excellent oral and written communication, organizational, analytical, and interpersonal skills. Interest in building a career in the semiconductor industry.
Functional Knowledge
Demonstrates comprehensive understanding of concepts and principles within own job family and knowledge of other related job families.
Business Expertise
Applies in-depth understanding of how own discipline integrates within the segment/function.
Leadership
Manages multiple related teams, sets organizational priorities and allocates resources.
Problem Solving
Identifies and resolves complex technical, operational and organizational problems.
Impact
Impacts the business results of a team or area by supporting and funding of projects, products, services and/or technologies and developing policies and plans.
Guided by business unit, department or sub-functional business plans.
Interpersonal Skills
Influences others internally and externally, including senior management.
Position requires understanding of Applied Materials' global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials' core values.
Education
Bachelor's, Master's, or Ph.D. Degree in Computer Science, Mathematics, or Engineering with a concentration in data science or AI/ML.
Experience: >15 years of experience
Computer Science/ Mathematics/ Engineering background with >15 years of experience in performing statistical analysis, designing and developing Image Processing/ Computer Vision Algorithms, handling and analyzing large volumes of data. Semiconductor background is an added advantage. Prior team leadership experience is required.
Qualifications
Education:
Bachelor's Degree
Skills
Certifications:
Languages:
Years of Experience:
7 - 10 Years
Work Experience:
Additional Information
Shift:
Day (India)
Travel:
Yes, 20% of the Time
Relocation Eligible:
Yes
Referral Payment Plan:
Employee Referral (Standard)
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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA With Employer Contribution
- Health Reimbursement Account
- FSA
- HSA
- On-Site Gym
- Pet Insurance
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Fertility Benefits
- Adoption Leave
- Non-Birth Parent or Paternity Leave
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Work-From-Home Stipend
Office Life and Perks
- On-Site Cafeteria
- Commuter Benefits Program
- Casual Dress
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Unlimited Paid Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Stock Purchase Program
- 401(K)
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Internship Program
- Work Visa Sponsorship
- Associate or Rotational Training Program
- Promote From Within
- Mentor Program
- Shadowing Opportunities
Diversity and Inclusion