**About Applied** **Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality.** **Applied Materials is dedicated to advancing technology through cutting-edge research and development. We are committed to creating impactful solutions that leverage the latest deep learning technologies.** **Our Team** **We develop innovative algorithmic solutions for complex problems in computer vision for semiconductor industry.** **Our group is focused on creating ground-breaking products and surpassing state-of-the-art, conducting applied research at the forefront of the field, making impact on the industry.** **Your Opportunity** **Lead a world-class team, with focus on innovative cutting-edge research.** **Oversee algorithmic concept and feasibility for algorithmic modules , including problem statement definition, concept selection, risks, and mitigations.** **Work on high-impact applications, with challenging and diverse semiconductor industry related problems to solve.** **Roles and Responsibility** **Leadership and Management:** **Lead, mentor, and manage teams of algorithm engineers and researchers.** **Foster a collaborative and high-performance work environment.** **Set clear goals and provide regular feedback and professional development opportunities for the team.** **Execution and Delivery:** **Oversee the planning, execution, and delivery of complex algorithmic projects developed by the team.** **Ensure projects are completed on time, within scope, and executed efficiently.** **Coordinate with cross-functional teams to align project goals.** **Technical Expertise:** **Stay abreast of the latest advancements in computer vision, deep learning, and related fields.** **Provide technical guidance and support to the team, ensuring the use of best practices and innovative approaches.** **Contribute to the development and implementation of robust, scalable, and efficient algorithms.** **Strategy and Vision:** **Develop and implement a strategic vision for algorithm teams.** **Identify new opportunities and drive the innovation roadmap.** **Collaborate with senior leadership to align team efforts with overall company strategy.** **Collaboration and Communication:** **Facilitate effective communication within the team and with other departments.** **Present technical concepts and project updates to stakeholders, including non-technical audiences.** **Build and maintain relationships with multiple stakeholders (Product, Business, Application.** **Qualifications** **Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related** **field with a focus on computer vision and deep learning.** **10+ years of experience in computer vision and deep learning.** **3+ years of leadership or management experience in a technical role.** **Deep understanding of machine learning, computer vision, and deep learning algorithms.** **Proficiency in programming languages such as Python, and frameworks like TensorFlow, PyTorch, or OpenCV.** **Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.** **Qualifications** **Education:** Bachelor's Degree **Skills:** Computer Vision, Deep Learning, Deep Learning Algorithms, Python Django **Certifications:** **Languages:** **Years of Experience:** 4 - 7 Years **Work Experience:** **Additional Information** **Time Type:** Full time **Employee Type:** Assignee / Regular **Travel:** Yes, 20% of the Time **Relocation Eligible:** Yes 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.