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Applied Materials
Applied Materials

Leading company in the software industry

Algorithm Developer

职能机器学习
级别中级
地点Hsinchu, Taiwan
方式现场办公
类型全职
发布1周前
立即申请

Who We Are

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.

What We Offer

Location:

Hsinchu,TWN

You’ll 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.

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.

Key Responsibilities

  • Engage in customer facing activities (SoW / H2H) to understand algorithmic limitations and deliver corresponding solutions with HQ timely

  • Work closely with HQ to develop new features in the fields of Computer Vision, Machine Learning and Deep Learning

  • Improve existing features for better sensitivity and stability

  • Evaluate new algorithms with regularity at customer sites to ensure seamless transfer of key features from Lab to Fab (up to 70% of the week)

  • Provide technical support for urgent escalations and collaborate with applicaions, system, physics, software teams to deliver solutions

  • Algorithm integration in large systems considering HW and SW aspects

Qualifications

  • MSc or Ph.D. in Electronic Engineering / Computer Science or 2+ years of industrial experience as Algorithm developer

  • Strong theoretical foundation and hands-on experience in Computer Vision and Deep Learning – must

  • Development experience in Python – must

  • Comfortable working on Linux servers, command line, Git – must

  • Experience of working in Semiconductor industry – plus

  • Theoretical and hands-on experience in Deep Learning – plus

  • Availability to travel abroad 10% of the year

  • Good communicator with moderate English skills

Additional Information Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Not Specified

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer. 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.

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关于Applied Materials

Applied Materials

Applied Materials, Inc. is an American corporation that supplies equipment, services and software for the manufacture of semiconductor chips for electronics, flat panel displays for computers, smartphones, televisions, and solar products.

10,001+

员工数

Santa Clara

总部位置

$57B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

3.8

职业发展

3.3

管理层

3.9

72%

推荐率

优点

Supportive and approachable management

Good benefits and training programs

Cutting-edge technology and interesting projects

缺点

Heavy workload and frequent overtime

Fast-paced and stressful environment

Limited growth opportunities

薪资范围

53个数据点

Junior/L3

L2

L6

M3

M4

M5

M6

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist I

0份报告

$153,792

年薪总额

基本工资

-

股票

-

奖金

-

$130,723

$176,861

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Final Round Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit