The impact you'll makeAt Lam, as a Product Engineer, you thrive in high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. Collaborating closely with customers and internal teams, you will provide real-time problem-solving to customer challenges and to enhance our products. Your passion for engaging with customers and innovative engineering drives progress in our industry, tackling the once unsolvable.
In this role, you will directly contribute to Equipment Intelligence team in The Deposition Group.
What you'll do- Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.
- Build scalable machine learning and deep learning models using image, video, and multimodal sensor data.
- Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.
- Develop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.
- Define data quality standards and establish model performance metrics to ensure production readiness.
- Collaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.
- Conduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.
- Drive innovation by evaluating emerging AI, machine learning, and computer vision technologies.
- Mentor junior engineers and provide technical guidance on best practices in data science and machine learning.
Who we're looking forWe are seeking a highly skilled Vision System Data Science Engineer to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications. The ideal candidate combines deep expertise in data science, computer vision, machine learning, and software engineering to transform image and sensor data into actionable insights that improve product quality, process control, and operational efficiency. As a senior technical contributor, you will drive end-to-end vision system development, collaborate with cross-functional teams, and provide technical leadership in AI-driven imaging and analytics initiatives.
Minimum Qualifications:
Master's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience; or Ph.D. with 5+ years of experience.
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, 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.
Preferred qualifications- 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.
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.
Our Perks and BenefitsAt 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.
