Sandisk

Sandisk

Staff Data Scientist – AI/ML, Generative AI & Agentic Systems

Milpitas, CA, United States · Staff+

Sponsorship not specifiedDetected 19 days ago
PythonSQLAWSDockerKubernetesCI/CDGrafanaMachine LearningTensorFlowPyTorchscikit-learnPandasSparkAirflowData ScienceLLMsAgentic AIMLOpsStatisticsStakeholder ManagementForecastingSAPSupply ChainProcurement

About the role

  • With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we're living in and that we have the power to shape.
  • Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward.
  • These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations.

Responsibilities

  • Design, build, and deploy AI/ML models for Supply Chain Planning (Demand Planning, Product Planning, Capacity planning, Inventory optimization, and production scheduling).
  • Develop multi-agent and generative AI-powered systems (using LLMs and frameworks like LangChain, AutoGen, CrewAI ) to enable real-time decision orchestration and intelligent automation.
  • Implement autonomous agentic workflows that integrate insights across multiple enterprise systems (SAP, Blue Yonder, MES, Dynamics, etc.).
  • Build and maintain scalable AI/ML pipelines using Python, Pandas, Neural Prophet, SQL, Spark, and AWS tools (S3, Lambda, SageMaker).
  • Lead the exploration and adoption of Agentic AI frameworks for autonomous planning and execution in supply chain functions.
  • Scale early-stage prototypes into enterprise-grade AI systems that deliver measurable operational efficiency.

Requirements

  • The ideal candidate will have hands-on experience with LLMs, LangChain, multi-agent frameworks, and cloud-based ML engineering (AWS).
  • 5-7 years of experience in AI/ML model development and deployment, preferably in supply chain or manufacturing environments.

Skills

  • Expertise in Python, SQL, Spark, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with LLMs, LangChain, Agentic AI frameworks (e.g., AutoGen, CrewAI, BabyAGI).
  • Proficiency with Docker, Kubernetes, MLflow, Airflow, and GitHub.
  • Familiarity with AWS services and observability tools like Grafana and CloudWatch.
  • Exceptional communication, stakeholder management, and problem-solving skills.
  • Proven leadership in cross-functional, innovation-focused environments.
  • Domain Expertise:
  • Why Join Us?
  • Shape the future of Agentic and Generative AI-driven Supply Chain Transformation.
  • Collaborate with global teams driving large-scale operational excellence.
  • Work with cutting-edge AI tools to solve complex, real-world problems at enterprise scale.

Compensation

  • The salary range is what we believe to be the range of possible compensation for this role at the time of this posting.
  • We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York.
  • This range may be modified in the future.
  • You will be eligible to participate in Sandisk's Short-Term Incentive (STI) Plan, which provides incentive awards based on Company and individual performance.
  • Depending on your role and your performance, you may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan.
  • Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable.

Benefits

  • Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan.
  • RSU awards are also available to eligible new hires, subject to Sandisk's Standard Terms and Conditions for Restricted Stock Unit Awards.
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