Sandisk

Technology

SeniorStaffAI/MLEngineer

$350–550k ~AI est. Milpitas, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Staff AI/ML Engineer at Sandisk. Skills: AI/ML, Data Science, Generative AI, MLOps. Develop machine learning models. Develop statistical models”

What You'll Achieve.

Drive innovation across operations; Deliver scalable AI solutions

Industry & Context.

Technology
Problems you'll solve

Complex problems

What They're Looking For.

Must Have

Master's degree in Computer Science, Master's degree in Electrical Engineering, Master's degree in Statistics, Master's degree in Applied Mathematics, 8–12+ years of experience in AI/ML engineering, 8–12+ years of experience in data science, Python expertise, Statistical modeling expertise, Experimentation expertise, Data science methodologies expertise, Scalable ML system design expertise, Production deployment expertise

Nice to Have

PhD in Machine Learning, PhD in AI, PhD in Statistics, PhD in Operations Research, PhD in Electrical Engineering, Generative AI / LLM systems experience, MLOps platforms experience, Distributed data platforms experience

What You'll Do.

Develop machine learning models

Develop statistical models

Develop optimization models

Solve business problems

Solve engineering problems

Apply data science rigor

Derive actionable insights

Integrate domain knowledge

Design GenAI solutions

Deploy GenAI solutions

Build knowledge-driven systems

Develop evaluation frameworks

Apply GenAI for decision support

Apply GenAI for automation

Apply GenAI for productivity

Architect AI/ML systems

Design data pipelines

Design feature engineering frameworks

Design model training platforms

Design experimentation platforms

Design inference systems

Design systems for cost efficiency

Establish integration patterns

Build MLOps pipelines

Scale MLOps pipelines

Ensure reproducibility

Lead operationalization efforts

Partner with cross-functional teams

Translate requirements into solutions

Mentor data scientists

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Manufacturing teams; Product teams; IT teams

Full Job Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. 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. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. We are seeking a Senior Staff AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML and Generative AI solutions that drive innovation across our engineering, manufacturing, and business operations. This role requires deep expertise in machine learning engineering, data science methodologies, and large-scale AI systems , combined with strong domain intuition in semiconductor/NAND environments. You will operate at the intersection of data, models, and real-world systems , translating complex, high-impact problems into scalable AI solutions. Key Responsibilities AI/ML, Data Science & Domain Integration * Develop advanced machine learning, statistical, and optimization models to solve complex business and engineering problems * Apply end-to-end data science rigor : problem framing, feature engineering, modeling, validation, and impact measurement * Work with la

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