Senior Staff Data Science Engineer (AI/ML)

Location: Milpitas, California, United States; onsite at the Milpitas office

Salary: $172,783–$286,178 per year

Company

hirify.global develops Flash memory and advanced memory technology solutions for digital products, engineering, manufacturing, and global supply chains.

What you will do

• Design, develop, and deploy advanced machine learning, statistical, optimization, and Generative AI solutions.
• Build RAG pipelines, LLM applications, agent-based systems, and knowledge-driven systems using enterprise documents, logs, process data, and operational datasets.
• Architect production-grade data pipelines, feature engineering frameworks, model training platforms, and real-time and batch inference systems.
• Develop evaluation frameworks and balance model accuracy, scalability, latency, cost efficiency, and reliability.
• Build MLOps pipelines covering CI/CD, model registry, monitoring, drift detection, reproducibility, observability, and governance.
• Partner with engineering, manufacturing, product, and IT teams while mentoring engineers and data scientists.

Requirements

• Onsite work at the Milpitas office in California is required.
• Master’s degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field.
• 8–12+ years of experience in AI/ML engineering, data science, or related domains.
• Strong Python and modern machine learning framework expertise, including PyTorch, TensorFlow, and scikit-learn.
• Expertise in statistical modeling, experimentation, data science methodologies, scalable ML system design, and production deployment.
• Proven delivery of production-grade AI/ML systems with measurable business impact.

Nice to have

• PhD in machine learning, AI, statistics, operations research, electrical engineering, or a related field.
• AI/ML experience in semiconductor, manufacturing, or other complex operational environments.
• Hands-on experience with RAG, prompt engineering, GenAI evaluation frameworks, and fine-tuning.
• Experience with MLflow, Azure ML, Kubeflow, Spark, or Databricks.

Culture & Benefits

• Paid vacation and sick leave.
• Medical, dental, vision, life, accident, and disability insurance.
• Flexible spending and health savings accounts, employee assistance, and voluntary benefit programs.
• Tuition reimbursement, transit benefits, employee stock purchase plan, and 401(k) savings plan.
• Eligibility for short-term incentives and, depending on role and performance, long-term incentives or restricted stock units.
• Commitment to equal opportunity, inclusion, accessibility, and reasonable accommodations throughout the hiring process.