AI/ML Software Engineer
About The Position
KLA is seeking an AI/ML Engineer to build agentic AI solutions that automate workflows and support better decision-making across the enterprise. The role involves collaborating with senior engineers and product partners to deliver reliable, production-grade AI services, contribute to agent orchestration approaches, and improve evaluation and monitoring for quality and performance. This is a hands-on position focused on collaborative design, implementation, and deployment of agentic AI systems. The position is based at KLA’s Midwest headquarters in Ann Arbor, Michigan. KLA’s IT group supports business growth and productivity by connecting people, processes, and technology around the world. The group focuses on improving the technology that drives the business and empowering employees through customer service, creativity, and technological excellence.
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI, or a related field.
- At least 3–5 years of experience in AI/ML, including a track record of deploying solutions in a production environment.
- Proficiency in Python or similar languages, with experience in libraries such as TensorFlow and Scikit-learn.
- Experience with RAG.
- Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture.
- Strong understanding of cloud platforms, DevOps practices, and data processing technologies.
- Demonstrated ability to lead technical projects and work effectively in matrix environments.
- Ability to communicate technical concepts to non-technical team members and business partners.
- Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
Nice To Haves
- Master’s degree and/or PhD.
- Experience working with enterprise AI/ML platforms or managed AI services.
- Exposure to model evaluation, monitoring, or performance tuning in production settings.
- Familiarity with MLOps practices and modern deployment workflows.
Responsibilities
- Build and deploy agent-based AI systems, including autonomous and semi-autonomous agents that can reason, plan, use tools, and collaborate effectively.
- Support benchmarking efforts for model performance across different deployment environments.
- Collaborate in the design and implementation of scalable and reliable AI/ML systems that support evolving workloads.
- Help ensure solutions align with enterprise standards for security, compliance, observability, and operational efficiency.
- Run focused experiments, such as A/B tests and workflow refinements, to improve agent performance.
- Work closely with cross-functional partners to deliver impactful business outcomes.
Benefits
- Medical, dental, vision, life, and other voluntary benefits.
- 401(k) with company matching.
- Employee stock purchase program (ESPP).
- Student debt assistance.
- Tuition reimbursement program.
- Development and career growth opportunities and programs.
- Financial planning benefits.
- Wellness benefits, including an employee assistance program (EAP).
- Paid time off and paid company holidays.
- Family care and bonding leave.
- Performance incentive programs may be available.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
