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

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

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Additional Information

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Relocation Eligible:

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.