1 day ago
Base Salary
$130k - $190k/yr
Responsibilities
- Integrate AI/ML components into existing applications, services, and pipelines with an emphasis on reliability and maintainability.
- Improve latency, throughput, reliability, and resource efficiency across systems and models.
- Design and implement scalable, resilient AI/ML systems that evolve with new 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 lead technical projects in matrix environments.
- Mentor others and take on increasing ownership as the role develops.
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI, or a related field; a master’s degree and/or PhD is preferred.
- At least eight years of relevant software engineering experience, including three to five years of AI/ML experience.
- Proven track record of deploying AI/ML solutions in production.
- Proficiency in Python or similar languages, with experience using 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, version control, CI/CD pipelines, and system design patterns.
- Experience with MLOps or ML systems engineering practices such as monitoring, model versioning, or rollback strategies is preferred.
- Familiarity with containerized or cloud-based deployment, performance tuning, reliability engineering, and operational support for AI/ML systems is preferred.
- Ability to lead technical projects, work in matrix environments, and communicate technical concepts to non-technical stakeholders.
Benefits
- Medical, dental, vision, life, and other voluntary benefits.
- 401(k) with company matching and an employee stock purchase program.
- Student debt assistance and tuition reimbursement.
- Development and career growth opportunities, financial planning benefits, and wellness benefits including an employee assistance program.
- Paid time off, paid company holidays, and family care and bonding leave.
- Based at KLA’s Midwest headquarters in Ann Arbor, Michigan.
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.