SG Data Scientist II

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

We are looking for a candidate who is a technical expert in Machine Learning (ML) / Deep Learning (DL) with the focus in Image Processing / Computer Vision (CV). The successful candidate will play a major role in extending the machine learning and computer vision capabilities for our semiconductor image measurements and image analysis. Together as a team, you will research, prototype, and implement CV / ML algorithms, MLOps, DGX Compatibility codes, etc, for rapid deployment into in-house image-based metrology solutions. The candidate is also responsible to write robust and maintainable code for high quality CV and ML /DL components.

What You’ll Do

Who We’re Looking For

• Masters or PhD in Data Science, Computer Science, Electrical Engineering, or equivalent; or Bachelor’s degree with proven records in algorithm developments related to image processing and analysis.
• At least two years of experience with applied image processing and/or computer vision and/or machine learning algorithms for a Master Candidate or extensive thesis work in these areas.
• Solid mathematics background (linear algebra, statistics, calculus).
• Solid experience with image processing or computer vision libraries such as OpenCV or skimage.
• Solid knowledge in machine learning frameworks (PyTorch, TensorFlow).
• Strong proficiency in Python programming and debugging. Knowledge of Java, C/C++ or parallel computing approaches such as Halide, or CUDA is a plus.
• Experience with implementing CNNs, feature detection, and/or classification.
• Excellent in problem-solving and analytical skills.
• Strong in verbal and written communication skills.
• Self-driven personality with the team-work mindset and self-reliant working style.
• Previous relevant works in GPU based image segmentation, denoising, localization, is a big plus.
• Hands-on experience with operating system Linux or Unix is a plus.
• Experience with SQL or NoSQL is a plus.
• Experience in the semiconductor field is preferred.

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.