GenAI & ML Data Scientist for End-to-End AI Solutions

Applied Materials, Inc.; Santa Clara (CA); Presencial; USD 170.000 - 234.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive benefits

Bonus eligibility

Stock awards

Descripción de la vacante

Applied Materials, Inc. is seeking a Data Scientist to join the Joint Operations Leadership (JOLT) Data Science team.

You will build end-to-end AI solutions, from problem framing to production deployment, and work on cross-functional initiatives to improve supply chain resilience and profitability. You will develop ML models, fine-tune GenAI applications, and design architectures with stakeholders across Material Planning, Inventory, and Production Demand Planning.

Formación

• MS or PhD in a quantitative field (Statistics, CS, Economics, OR).
• 3–5 years of industry experience in applied machine learning or AI.
• Hands-on GenAI-focused applications and knowledge of LLM architectures.
• Collaborates well with cross-functional teams and stakeholders.
• Proficient in Python, SQL, and ML libraries; familiar with MLOps.

Responsabilidades

• Develop analytic models and ML algorithms in project teams.
• Work on GenAI and LLM projects including fine-tuning and embeddings.
• Direct GenAI architectures for plugin-based solutions and apps.
• Use data mining to provide insights on forecast and patterns.
• Interface with stakeholders to define requirements and KPIs.
• Identify opportunities to improve forecast accuracy and business insights.
• Collaborate with planning, operations, inventory, and production teams.

Conocimientos

GenAI

LLMs

Python

SQL

MLOps

Deep Learning

Forecasting

Communication

Cross-functional

Educación

MS or PhD in quantitative field

Herramientas

PyTorch

JAX

TensorFlow

scikit-learn

SQL

Descripción del empleo

Applied Materials, Inc. is seeking a Data Scientist to join the Joint Operations Leadership (JOLT) Data Science team.

You will build end-to-end AI solutions, from problem framing to production deployment, and work on cross-functional initiatives to improve supply chain resilience and profitability. You will develop ML models, fine-tune GenAI applications, and design architectures with stakeholders across Material Planning, Inventory, and Production Demand Planning.