How your CV stacks up
Upload your CV to see how well it fits this job role
?%
The group you’ll be a part of
Metior product line works on the development of advanced systems for process diagnostics and metrology of semiconductor wafers. The group falls under CSBG (Customer Support Business Group) upgrades and metrology enabling our customers with premier customer support throughout their lifecycle with Lam. Along with R&D innovation, we drive performance, productivity, safety, and quality of customers installed base performance and deliver service and lifecycle solutions for their most critical equipment and processes.
The impact you’ll make
We are seeking a seasoned and visionary data scientist to lead the design, development and implementation of advanced computer vision as well as machine learning/deep learning algorithms. Ideally a data scientist with a physics background, the candidate is expected to lead the development of Metior’s equipment intelligence, AI/ML infrastructure, ensuring the creation of robust, scalable, and innovative solutions. The ideal candidate will combine deep technical expertise in data science and analytics with a strategic mindset to drive the development of cutting-edge AI/ML algorithms. This position requires understanding of the productization and deployment of ML solutions.
Responsibilities
What you’ll do
- Design, Development and implementation of advanced machine learning algorithms as well as physics-based software solutions for our hybrid metrology systems including optical metrology solutions.
- Design and development of sophisticated algorithms for image segmentation and classification specific to our metrology systems.
- Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.
- Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.
- Hands-on ML model development and derive the right solutions for complex problems. Rapid prototyping and validation of new machine learning as well as deep learning algorithms.
- Work closely with software, system engineering and data-science teams to integrate algorithms into product systems as well as contributing to cross-functional innovations.
- Work with internal and external customers and stakeholders to define the requirements for next generation ML algorithm requirements to solve challenging customer problems.
- Data science related escalation management and troubleshooting potential issues from the field systems.
- Prepare presentations to all stakeholders and be able to host design reviews.
- Collaborate effectively with global development teams to ensure seamless deployment and continuous improvement. Stay abreast of emerging technologies to ensure the continuous evolution of our data science capabilities.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who We’re Looking For
Technical Skills
- Extensive experience with data analytics, supervised and unsupervised machine learning including regression models, decision trees, feature engineering, frameworks like Pytorch, TensorFlow, SciKit-learn etc. Familiarity with MLOps with Databricks is a strong advantage.
- Strong background in optical physics, numerical simulations, advanced signal processing, computer vision and spectroscopy. Experience working with and handling huge datasets from advanced sensors and imaging systems.
- Proficiency in programming languages (e.g., Python, R) and familiarity with data science libraries and frameworks. Familiarity with C# is an added advantage.
- Ability to analyze large datasets and validate models for accuracy, robustness and reliability. Experience with ML deployment and monitoring strategies to track model performance over time and address issues proactively.
- Ability to work cross-functionally and communicate complex modeling concepts to mixed engineering audiences. Curiosity-driven and a structured problem-solver.
- Background in parallel/distributed computing, profiling and optimization for computation and memory.
- Experience working in the development of semiconductor capital equipment systems is preferable.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Qualifications
- PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with a strong modeling/analytical background.
- A minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location