Data Scientist 4

Global Information Systems - Enterprise Analytics and Engineering - Data science Hub

As a machine learning / GenAI engineer at Lam Research, you will develop AI-driven enterprise applications, including chatbots on company data. Collaborating with a dedicated team of data scientists and software engineers, you will deliver innovative solutions that drive significant business value and enhance user experiences.

• Design and develop GenAI-based applications powered by RAG, text-to-SQL, function-calling, and agentic architectures.

• Conduct experiments and analysis to evaluate and optimize the performance and business value impact of ML and GenAI-based applications.

• Interact with business stakeholders to gather feedback and tailor solutions to business needs.

• 6+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
• 1+ years of experience with developing GenAI solutions.
• Typically requires 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.

• Strong proficiency in Python.

• Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.

• LLM skills including fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG).

• Experience following software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing.

• Exposure to Microsoft Azure or similar cloud computing ecosystem.

• Strong communication skills, and ability to collaborate with cross-functional teams.

• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

• Experience developing GenAI applications leveraging multi-agent frameworks and/or graph-based GenAI approaches (e.g., GraphRAG).

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.