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Applied Materials
Applied Materials

Leading company in the software industry

Algorithm Developer

직무머신러닝
경력미들급
위치Hsinchu, Taiwan
근무오피스 출근
고용정규직
게시1주 전
지원하기

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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Applied Materials 소개

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+

직원 수

Santa Clara

본사 위치

$57B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.2

보상

3.5

문화

3.8

커리어

3.3

경영진

3.9

72%

지인 추천률

장점

Supportive and approachable management

Good benefits and training programs

Cutting-edge technology and interesting projects

단점

Heavy workload and frequent overtime

Fast-paced and stressful environment

Limited growth opportunities

연봉 정보

53개 데이터

Junior/L3

L2

L6

M3

M4

M5

M6

Senior/L5

Staff/L6

L3

L4

L5

Junior/L3 · Data Scientist I

0개 리포트

$153,792

총 연봉

기본급

-

주식

-

보너스

-

$130,723

$176,861

면접 후기

후기 4개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Final Round Interview

5

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit