CV/ML/DL Algorithm Developer

Applied Materials • Santa Clara, CA

2d • $161,000 - $221,000

About The Position

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. 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. Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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. You’ll also 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 about careers at Applied.

Requirements

• Experience working in Semiconductor industry.
• Strong background in computer vision, image processing, and DL technology
• Expertise in C/C++, Python and working experience with Tensor Flow, PyTorch or similar framework
• Academic background in Computer Vision, Deep Learning, Machine Learning, or Artificial Intelligence.
• Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills.
• New Ph.D. graduate or Master's (with 4+ years of experiences) in computer science/electrical engineering or similar fields.

Nice To Haves

• Working knowledge with AI coding tools is desired.

Responsibilities

• You will be responsible leading research, design, development and implementation of algorithmic modules.
• You will perform algorithmic concept and feasibility for classical, and ML/DL based computer vision algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constraints.
• Evaluate computer vision and machine learning / deep learning algorithms for defect detection, defect classification, metrology, and image analysis on a semiconductor process control tool.
• Investigate, survey literature, and prototype algorithm approaches to solve complex problems by understanding the customer use cases.
• Collaborate with other functional teams such as compute infra, SW, systems and applications and productize new algo solutions that meet certain specifications.
• Benchmark, profile, and optimize algorithms to reduce computational cost and influence compute hardware requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level