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- Tasks: Lead the design and implementation of advanced AI/ML algorithms for cutting-edge metrology systems.
- Company: Join a leading tech company focused on innovation in semiconductor diagnostics.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the tech world with your data science expertise.
- Qualifications: PhD or MSc in relevant fields with extensive experience in data analytics and machine learning.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Group Overview: 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:
- 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.
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 modelling 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.
Qualifications:
- PhD or MSc in Physics, Applied Physics, Electrical Engineering, Optical Engineering or related field with strong modelling/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.
Data Scientist 4 employer: Lam Research
Contact Detail:
Lam Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist 4
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Lam.
We think you need these skills to ace Data Scientist 4
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning, computer vision, and any relevant projects that showcase your skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your expertise can contribute to our Metior product line. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Be sure to highlight your technical skills in data analytics, programming languages, and frameworks like Pytorch or TensorFlow. We’re keen on seeing how you’ve applied these in real-world scenarios, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Lam Research
✨Know Your Algorithms
Make sure you brush up on your machine learning and deep learning algorithms. Be ready to discuss how you've implemented them in past projects, especially in relation to computer vision and image segmentation. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Physics Background
Since a strong background in physics is crucial for this role, prepare to discuss how your knowledge of optical physics and numerical simulations has influenced your work. Bring examples of how you've applied these concepts in data science projects, particularly in semiconductor applications.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with data analytics tools and frameworks like PyTorch and TensorFlow. Be ready to explain your approach to feature engineering and model validation, as well as any challenges you've faced and how you overcame them.
✨Communicate Clearly
You'll need to communicate complex modelling concepts to a mixed audience, so practice explaining your work in simple terms. Prepare a few key points about your previous projects that highlight your ability to collaborate cross-functionally and how you’ve contributed to team success.