In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.
Join Lam as a Data Scientist, where you'll design, develop, and program methods to analyze unstructured and diverse big data into actionable insights. You'll develop algorithms and automated processes to evaluate large data sets from disparate sources. Your expertise in generating, interpreting, and communicating actionable insights enables Lam to make informed and data-driven decisions.
- Strong expertise in:
- Computer Vision
- Machine Learning and Deep Learning
- Statistical Modeling and Experimental Design
- Image Processing and Pattern Recognition
- Proficiency C/C++ , in Python and scientific computing libraries such as:
- TensorFlow and/or PyTorch
- OpenCV
- Experience developing and deploying production AI/ML systems.
- Strong knowledge of CNNs, Vision Transformers (ViTs), object detection, segmentation, and anomaly detection methodologies.
- Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
- Ability to handle large-scale structured and unstructured datasets.
- Strong communication and stakeholder-management skills.
- Experience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems.
- Knowledge of optical systems, cameras, sensors, and imaging hardware.
- Experience with edge AI deployment and real-time inference systems.
- Familiarity with SQL, Spark, Databricks, and distributed computing environments.
- Increased process efficiency, yield, or product quality through AI-driven insights.
- Successful deployment and adoption of vision solutions in production environments.
- Technical leadership and influence across multiple engineering programs.
- Technical Leadership
- Computer Vision & Deep Learning
- Data Science & Analytics
- Systems Thinking
- Problem Solving
- Innovation & Research
- Cross-functional Collaboration
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.
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Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
Skills Required
- Master's degree in Data Science, Computer Science, Physics, or a related field with 8+ years of relevant experience
- Ph.D. in Data Science, Computer Science, Physics, or a related field with 5+ years of relevant experience
- Strong expertise in computer vision
- Strong expertise in machine learning and deep learning
- Strong expertise in statistical modeling and experimental design
- Strong expertise in image processing and pattern recognition
- Proficiency in C, C++, and Python
- Experience with TensorFlow and/or PyTorch
- Experience with OpenCV
- Experience developing and deploying production AI/ML systems
- Knowledge of CNNs, Vision Transformers, object detection, segmentation, and anomaly detection
- Experience with cloud platforms such as Azure, AWS, or GCP
- Experience with MLOps practices
- Ability to handle large-scale structured and unstructured datasets
- Strong communication and stakeholder-management skills
- Experience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems
- Knowledge of optical systems, cameras, sensors, and imaging hardware
- Experience with edge AI deployment and real-time inference systems
- Familiarity with SQL, Spark, Databricks, and distributed computing environments
- Experience improving process efficiency, yield, or product quality through AI-driven insights
- Successful deployment and adoption of vision solutions in production environments
- Technical leadership and influence across multiple engineering programs
Lam Research Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lam Research Corporation and has not been reviewed or approved by Lam Research Corporation.
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Parental & Family Support — Parental leave is described as 16 weeks fully paid for all new parents, with birth mothers averaging about 26 weeks total; adoption assistance and subsidized backup childcare are also included. These programs are consistently highlighted as standout elements of the package.
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Healthcare Strength — Medical options span PPO, CDHP, and HMO choices with company HSA funding, alongside dental and vision coverage. Coverage quality and breadth are emphasized, supported by wellbeing resources such as an EAP.
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Equity Value & Accessibility — An ESPP with a discount and look-back/reset features is highlighted, and many technical roles include RSUs and bonuses that lift total compensation. These equity mechanisms are frequently cited as meaningful components of total rewards.
Lam Research Corporation Insights
What We Do
Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site) View Lam’s Online Privacy Notice Summary : https://www.lamresearch.com/privacy/
