채용
Required Skills
Machine Learning
Python
PyTorch
Scikit-Learn
MLOps
AWS
Data pipelines
Problem-solving
About Global Foundries
Global Foundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, Global Foundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Introduction
As a Machine Learning Engineer for Digital Manufacturing, you will be joining the Digital Manufacturing Group and perform a key role within the AI Integration team and assist in the AI/ML/GenAI solutions’ technical requirements. You will help establish best practices for analytics use case development, deployment, scaling, and maintenance of AI/ML projects.
Responsibilities
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Support the AI Integration Team in developing and deploying AI/ML models.
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Work with highly complex data for feature development using AI/ML models.
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Work closely with teams in Digital Manufacturing and other stakeholders to define project objectives, deliverables, and timelines.
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Adapt to evolving technologies and learn new tools and techniques. Committed to stay updated with the State-of-the-Art advancements in AI/ML.
Required Qualifications
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Bachelor's degree in engineering, Computer Science, or related quantitative field.
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A minimum of 2 years of experience in ML engineering or Applied AI.
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Proficiency in AI/ML techniques and frameworks (incl. Py Torch, Scikit-Learn, Lang Chain etc.), and model deployment strategies.
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Familiarity with MLOps, CI/CD pipelines for ML, and monitoring tools for model performance and drift detection.
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Practical experience with AWS services for ML deployment.
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Deep understanding of data pipelines, and data quality principles.
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Flexibility and ability to work with ambiguous problems and unstructured data.
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Excellent communication and collaboration skills.
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Ability to work independently and as part of a cross-functional international team.
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Strong problem-solving and analytical skills with a passion for building high-quality solutions.
Preferred /Nice to have
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Master's degree in engineering, Computer Science, or related quantitative field.
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Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions.
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Ability to enforce data quality standards and maintain data dictionaries.
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Experience with data governance frameworks and guidelines.
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Exposure to semiconductor/manufacturing domain.
Global Foundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with Global Foundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia
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About GlobalFoundries
Reviews
3.4
9 reviews
Work Life Balance
3.2
Compensation
3.1
Culture
3.4
Career
2.8
Management
2.9
65%
Recommend to a Friend
Pros
Good learning experience and knowledge sharing
Decent pay and benefits
Diverse and welcoming culture
Cons
Limited career growth opportunities
Management and communication issues
Cost cutting and layoffs
Salary Ranges
0 data points
Junior/L3
Junior/L3 · Venture Capitalist
0 reports
$89,550
total / year
Base
-
Stock
-
Bonus
-
$76,118
$102,983
Interview Experience
51 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer Rate
36%
Experience
Positive 68%
Neutral 20%
Negative 12%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
GlobalFoundries $GFS has 101.25% Institutional Ownerships with 11.66% of the float short.
When it was announced that Nvidia bought Groq on Dec 24th, the maker of SRAM heavy AI chips, for $20B, that piqued my interest and I looked into who fabs the chips for them, which turned out to be GlobalFoundries $GFS, who were pivoting into being a Fab for chips suited for Physical AI and Robotics,
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4w ago
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Citi Updates GlobalFoundries (GFS) Valuation Model to 2027 Estimates From 2026 - Yahoo Finance
Source: Yahoo Finance
News
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5w ago
GlobalFoundries: Repositioning Toward Long-Cycle Growth In An Era Of Semiconductor Reshoring - Seeking Alpha
Source: Seeking Alpha
News
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5w ago
GlobalFoundries Shows Market Leadership With Jump To 85 RS Rating - Investor's Business Daily
Source: Investor's Business Daily
News
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5w ago
