1 day ago
Base Salary
$130k - $220k/yr
Responsibilities
- Integrate AI/ML components into existing applications, services, and pipelines with a focus on reliability and maintainability.
- Improve system and model performance across latency, throughput, reliability, and resource efficiency.
- Design and implement scalable, resilient AI/ML systems that support evolving use cases.
- Help ensure AI/ML systems meet enterprise expectations for security, compliance, observability, and operational readiness.
- Support production deployment, monitoring, and troubleshooting of AI/ML systems.
- Collaborate with cross-functional partners to deliver stable AI capabilities and take on increasing ownership and mentorship responsibilities.
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI, or a related field; a master’s degree or PhD is preferred.
- Minimum of eight years of relevant software engineering experience and three to five years of AI/ML experience, including production solution deployments.
- Proficiency in Python or similar languages and experience with libraries such as TensorFlow and Scikit-learn.
- Essential experience with RAG.
- Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
- Understanding of cloud platforms, DevOps practices, data processing technologies, and MLOps or ML systems engineering practices.
- Experience with performance tuning, reliability engineering, operational support, containerized or cloud-based deployments, monitoring, model versioning, or rollback strategies.
- Ability to lead technical projects, work effectively in matrix environments, and communicate technical concepts to non-technical stakeholders.
- Familiarity with software engineering practices including Git, CI/CD pipelines, agile methodologies, and system design patterns.
Benefits
- Medical, dental, vision, life, voluntary benefits, 401(k) with company matching, employee stock purchase program, student debt assistance, tuition reimbursement, career development programs, financial planning benefits, wellness benefits, paid time off, paid company holidays, and family care and bonding leave.
- Full-time position based at KLA’s Midwest headquarters in Ann Arbor, Michigan.
- Employees may participate in performance incentive programs.
Categories
About KLA
KLA builds process control, inspection and metrology systems used to manufacture semiconductor wafers, reticles, advanced packaging, printed circuit boards, and displays, and sells related software and services to chipmakers and electronics manufacturers. Its business model centers on capital equipment sales plus service and support contracts. Headquartered in Milpitas, California, KLA traces its origins to the 1997 KLA-Tencor merger and is publicly traded on NASDAQ under the ticker KLAC.