Data Scientist 3

[[OCTO[[Semiverse Solutions[[Data Sciences

We are seeking a talented Data Scientist to join our team. In this role, you will play a key part in developing and implementing machine learning solutions to derive insights from complex multi-physics simulations as well as experimental data. You will own the end-to-end development of these solutions, from initial concept and feasibility through the final implementation and deployment.

• Analyze and investigate large, complex datasets from diverse sources to identify trends and opportunities.
• Design, build, and train robust machine learning and deep learning models.
• Engineer relevant features and conduct rigorous model evaluation, including hyperparameter optimization and model generalization testing.
• Collaborate with engineering teams to integrate models into our production codebase, while championing best practices for code quality and maintainability.
• Clearly communicate findings and results to technical and non-technical stakeholders.

• Education: A master's degree with 3 years of experience or Ph.D. in Computer Science, Engineering, Statistics, related quantitative field.
• Machine Learning: Solid theoretical knowledge and practical experience in AI algorithms, deep learning, statistics, and optimization.
• Software Engineering: Strong Python programming skills with a focus on writing efficient, maintainable, and well-documented code.
• ML Frameworks: Proficiency in modern ML frameworks such as PyTorch, JAX, or Tensorflow.

• Domain knowledge in semiconductor engineering, process engineering, or multi-physics simulations.

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.