The group you'll be a part of

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.

The impact you'll make

This internship role will focus on Image Segmentation / Image Processing / Computer Vision (CV). The successful candidate will focus on the Model assisted active learning, ML-based label quality scoring, assistive data labeling, and data management tool for image segmentation. Specifically, the intern will be involved in the design and development of iterative and assistive data labeling tool backed by Lam's most powerful image segmentation, Foundation Models.

What You'll Do

Who we're looking for

Post-Graduates (Final Year Students - Master / PhD Program) with strong passion and understanding of Deep Learning (DL), Machine Learning (ML), and Computer Vision (CV).

Good knowledge and understanding in machine learning, deep learning, image processing / computer vision. Knowledge on Image segmentation is a MUST.
Strong proficiency in Python programming and debugging, associated libraries like OpenCV, PyTorch, PyQt, GUI, NumPy, Scikit-learn, etc.
Self-driven personality with the team-work mindset and self-reliant working style.
Previous relevant works in image segmentation, UNET, SAM, is a big plus.

This is purely a data science (DL for computer vision) work and hence, NO knowledge on semiconductor, hardware, etc. is required.

Preferred Qualifications

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.

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