Job description

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Salary: $170,000.00 - $234,000.00 Location: Santa Clara,CA You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . Key Responsibilities: Job Description Applied Materials’ Joint Operations Leadership (JOLT) Data Science team is seeking a Data Scientist to join our growing organization. JOLT plays a critical role in rebuilding customer trust, creating an agile and resilient supply chain, reshaping supplier relationships, driving operational excellence, and maximizing profitability through advanced analytics, AI, and machine learning. This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.: Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment. Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations. Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds. Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc. Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions. Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership Collaborate with Material Planning, Field Operations, Inventory Management, NPI, Production Demand Planning, Reliability Engineering, Service Campaigns Teams to gather data and bring information on key business drivers that impact the future demand on Service Parts and Accessories Requirements Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). 3-5 years of industry experience in applied machine learning or related AI work. Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated. Can work collaboratively with cross-functional teams. Hands-on experience with: Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG) Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow. MLOps, including model deployment, versioning and performance monitoring in production environments Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries. Excellent analytical and problem-solving abilities, Machine Learning Concepts Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders. Interpersonal Skills Communicates difficult concepts and negotiates with others to adopt a different point of view Location Santa Clara, CA; on-site full-time Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

Requirements

Must-haves

Santa Clara,CA
This role offers the opportunity to work on high‑impact, cross‑functional initiatives and to develop end‑to‑end AI solutions—from problem formulation to production deployment.:
Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment.
Work on GenAI and LLM projects, including fine-tuning models, creating embedding-based search systems, and developing AI-driven prototypes to enhance business operations.
Directing architects to design and solution GenAI architectures for stakeholders, specifically for plugin-based solutions and custom GenAI application builds.
Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc.
Interfaces with stakeholders for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions.
Identify opportunities for forecast accuracy improvement and provide business insights and additional perspectives to Service Supply Chain leadership
Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).
3-5 years of industry experience in applied machine learning or related AI work.
Hands-on experience building GenAI-focused applications (e.g., agents, reasoning workflows, or RAG) and a solid understanding of how large language models are architected and operated.
Can work collaboratively with cross-functional teams.
Building GenAI-focused application and applying LLMs and agentic AI (e.g., agents, reasoning workflows, or RAG)
Have personally implemented models in common Deep Learning frameworks such as PyTorch, Jax or TensorFlow.
MLOps, including model deployment, versioning and performance monitoring in production environments
Proficiency in Python, SQL, and tools such as scikit-learn, and forecasting libraries.
Excellent analytical and problem-solving abilities, Machine Learning Concepts
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.
Interpersonal Skills
Communicates difficult concepts and negotiates with others to adopt a different point of view
Santa Clara, CA; on-site full-time
Additional Information
Assignee / Regular
Yes, 10% of the Time

Nice-to-haves

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Platform: workday
Effort: long