1 day ago
Base Salary
$94k - $160k/yr
Responsibilities
- Design and develop AI-enabled applications and services.
- Build, train, evaluate, and deploy machine learning and generative AI models.
- Create data pipelines, model-training workflows, and inference services.
- Integrate AI models into production applications, operational processes, enterprise systems, and manufacturing platforms.
- Develop AI agents and agentic workflows.
- Conduct proof-of-concepts and transition successful prototypes into production systems.
- Monitor model performance, reliability, security, and responsible AI compliance.
- Participate in code reviews, testing, DevOps, and software release processes.
- Collaborate with product managers, domain experts, and software engineers on end-to-end AI solutions.
Requirements
- Master's degree with 0 years of related work experience, or bachelor's degree with 2 years of related work experience.
- Experience with large language models and Retrieval Augmented Generation.
- Experience integrating AI solutions with enterprise systems such as SAP, Snowflake, or manufacturing platforms.
- Familiarity with Azure AI, OpenAI, AWS, or other cloud AI services.
- Knowledge of data engineering, analytics, and MLOps practices.
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 and programs.
- Financial planning and wellness benefits, including an employee assistance program.
- Paid time off, paid company holidays, and family care and bonding leave.
- Primary location is Ann Arbor, Michigan, with compensation determined by role, level, location, skills, experience, education, and training.
Tech Stack
AWSSnowflake
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.