Senior Algorithm Manager - M5
Senior Algorithm Manager - M5
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$ 202500 - 278500
1 Vacancy
Job Description
Who We Are
Applied Materials is the global leader in materials engineering solutions used to producevirtually everynew chip and advanced display in the world. We design build and servicecuttingedgeequipment 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 thatliterally connectour world like AI and IoT. If you want to workbeyond thecuttingedge continuously pushing the boundaries ofscience and engineering to make possiblethe next generations of technology join us to Make Possiblea Better Future.
At Applied we prioritize your wellbeing 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.Werecommitted 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 aboutourBenefits.
WhatYoullDo
As a senior algorithm manager you will be responsible leading research design development and implementation & proliferation accompanying of algorithmic solutions in accordance with project budgets and time schedules. You will guide team during construction and monitoring of work plans.
Your key responsibilities will be
- Demonstrates comprehensive understanding of computer vision and deep learning algorithms for image analysis pattern recognition metrology and object detection.
- Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product.
- Algorithm optimization to reduce computational cost and influence hardware requirements.
You will be a great fit if you have
- 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.
- Experience working in Semiconductor industry.
- Excellent analytical problemsolving and organizational skills along with strong interpersonal communication skills.
- Experience in managing teams for 5 years sets organizational priorities and allocates resources.
- Ph.D. or Masters in computer science/engineering or similar fields with 10 years of experience.
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.
Qualifications
Education:
Masters Degree: Computer EngineeringSkills:
Certifications:
Languages:
Years of Experience:
4 7 YearsWork Experience:
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes 10 of the TimeRelocation Eligible:
NoU.S. Salary Range:
$202500.00 $278500.00The salary offered to a selected candidate will be based on multiple factors including location hire grade jobrelated 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 isthe 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.
Required Experience:
Manager
Employment Type
Full-Time
