Data Scientist - Agentic AI / ML

Applied Materials
Santa Clara
Workplace: OnsiteFull timeUSD 142,500 - 196,500 annuallyFunction: Data Science & Machine Learning0Education: mastersSkills: ["Analytical and problem-solving abilities","Communication and storytelling","Collaboration with cross-functional teams"]

Build and deploy agentic AI and machine learning solutions end to end, from problem formulation through production deployment. Work in cross-functional project teams on GenAI/LLM initiatives like fine-tuning, embedding-based search, and AI-driven business prototypes. Use Python, SQL, and forecasting/ML libraries to extract insights from historical and real-time data, improving forecast accuracy and KPIs across service supply chain workflows. Travel about 10% for the role.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Applied Materials
Applied Materials
2 months ago

Data Scientist - Agentic AI / ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and deploy agentic AI and machine learning solutions end to end, from problem formulation through production deployment. Work in cross-functional project teams on GenAI/LLM initiatives like fine-tuning, embedding-based search, and AI-driven business prototypes. Use Python, SQL, and forecasting/ML libraries to extract insights from historical and real-time data, improving forecast accuracy and KPIs across service supply chain workflows. Travel about 10% for the role.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Develop analytical models, algorithms, and automated processes from inception to deployment.
  • •Build GenAI and LLM solutions, including fine-tuning models, embedding-based search systems, and AI-driven prototypes for business operations.
  • •Design and solution GenAI architectures for plugin-based solutions and custom GenAI application builds, partnering with architects and stakeholders.
  • •Mine data and apply machine learning to generate insights from historical and real-time datasets for forecasting and pattern recognition use cases.
  • •Collaborate with business units and stakeholders to derive KPIs/actions, improve forecast accuracy, and provide insights to Service Supply Chain leadership.
Travel: Low travel

Pay and Benefits

Salary: USD 142,500 - 196,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, Economics, or Operations Research.
  • •0–2 years of industry experience in applied machine learning or related AI work.
  • •Hands-on experience building GenAI-focused applications (agents, reasoning workflows, or RAG) and understanding how large language models are architected and operated.
  • •Hands-on experience with Deep Learning frameworks such as PyTorch, Jax, or TensorFlow, plus MLOps (deployment, versioning, and performance monitoring).
  • •Proficiency in Python and SQL, and tools such as scikit-learn and forecasting libraries; strong analytical/problem-solving and communication skills.
Experience:0Applied machine learningAIGenAIMLOpsForecastingSupply chain
Education:Master's in quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
Skills:Analytical and problem-solving abilitiesCommunication and storytellingCollaboration with cross-functional teams
Tech Stack:PythonSQLScikit-learnPyTorchJaxTensorFlowMLOpsDockerDeep LearningGenAILLMsRAGEmbedding-based searchForecasting libraries

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor