Productivity Engineer 4

Lam Research Salzburg GmbH; Batu Kawan; On-site; MYR 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Remote work options

Job summary

Lam Research seeks a Productivity Engineer 4 to develop and deploy AI/ML models, analyze large datasets, and build data pipelines that improve manufacturing operations. You will collaborate with cross-functional teams to identify AI opportunities and ensure models meet performance targets.

The role emphasizes problem-solving, robust communication, and delivering actionable insights to accelerate Lam’s industrial innovations and efficiency across sites.

Qualifications

• Minimum of 8 years of related experience with a Bachelor's/Master's degree in Computer Science, Data Science, Industrial Engineer, Manufacturing Engineering, or related field.
• Experience with Python, SQL, and machine learning frameworks.
• Knowledge of data analytics, statistics, and AI model deployment.
• Strong problem-solving and communication skills.

Responsibilities

• Develop and deploy AI/ML models to solve business problems.
• Analyse large datasets and generate actionable insights.
• Build data pipelines and automation solutions.
• Work with cross-functional teams to identify AI opportunities.
• Monitor model performance and drive continuous improvement.
• Present findings and recommendations to stakeholders.

Skills

Python

SQL

ML frameworks

Data analytics

Statistics

AI model deployment

Education

Bachelor's/Master's degree in CS/DS/IE

Tools

Azure AI

Copilot

MLOps

Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.
Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.
Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Productivity Engineer 4

Date: Oct 5, 2026

Location: Batu Kawan, MY

Worker Category: On-site

The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics,and high-volume manufacturing together to drive the engine of our global business operations.We help Lam deliver industry-leading solutions with speed and efficiency, while activelysupporting the resilient and profitable growth of Lam's business.

The impact you’ll make

Creates and develops design concepts and specifications that optimize the function, ergonomics, perceived value and appearance of physical hardware products and systems for product consumers and end users. Partners with internal and external marketing and design groups to research and analyze design trends and customer feedback for incorporation into product enhancements, new product design and overall design language and strategy. Produces and validates product design specifications and production requirements with insourced and outsourced manufacturing and engineering groups.

What you’ll do

Responsibilities

• Develop and deploy AI/ML models to solve business problems.


• Analyse large datasets and generate actionable insights.


• Build data pipelines and automation solutions.


• Work with cross-functional teams to identify AI opportunities.


• Monitor model performance and drive continuous improvement.


• Present findings and recommendations to stakeholders.

Who we’re looking for

Requirements

• Minimum of 8 years of related experience with a Bachelor's/Master's degree in Computer Science, Data Science, Industrial Engineer, Manufacturing Engineering, or related field.


• Experience with Python, SQL, and machine learning frameworks.


• Knowledge of data analytics, statistics, and AI model deployment.


• Strong problem-solving and communication skills.

Preferred qualifications

• Experience with Generative AI, Copilot, Azure AI, or MLOps.


• Manufacturing, operations, or productivity improvement experience.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research (\"Lam\" or the \"Company\") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Job Segment: Logistics, Manufacturing Engineer, Computer Science, Supply Chain, Industrial Engineer, Operations, Engineering, Technology