Kla
Software Engineering Manager-AI/ML
Ann Arbor, MI
Sponsorship not specified$114k-$194kDetected 15 days ago
AWSGCPAzureCloud PlatformsCI/CDMachine LearningData EngineeringLLMsRAGMLOpsA/B TestingRoadmappingStakeholder ManagementSupply ChainPerformance ManagementCustomer SupportAR/VRResearchLeadershipCommunicationCollaborationMentoring
About the role
- Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.
- No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.
Responsibilities
- Manage and grow a team of AI engineers, ML engineers, and/or software engineers working on AI initiatives.
- Own delivery of AI and GenAI initiatives from concept through production, ensuring scope, timelines, and quality standards are met.
- Guide teams in building production‑grade AI systems, including data pipelines, model training, LLM applications, deployment, and monitoring.
- Provide architectural and design guidance for:
- Review designs and key technical decisions
- Partner with data, cloud, and platform teams to ensure AI solutions align with enterprise architecture.
- Review designs and key technical decisions; ensure alignment with platform standards and best practices.
- Collaborate with security, legal, and governance teams to ensure responsible AI, privacy, and compliance requirements are met.
- Drive continuous improvement through retrospectives, metrics, and adoption of best practices.
- Experience managing teams building LLM‑based applications or GenAI platforms.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years of experience in software engineering, ML/AI engineering, or applied data roles.
- 4+ years of people management experience leading technical teams.
- Strong understanding of AI/ML systems and how they are built, deployed, and operated in production.
- Ability to communicate effectively with both technical and non‑technical stakeholders.
Nice to have
- Set clear goals, expectations, and success metrics
- conduct regular 1:1s, performance reviews, and career development planning.
- Coach team members on technical excellence, delivery discipline, and responsible AI practices.
- Balance experimentation with operational rigor-ensuring solutions are scalable, secure, and supportable.
- Familiarity with cloud platforms (e.g., Azure, AWS, or GCP ) and modern data stacks.
- Exposure to MLOps practices, model monitoring, and AI governance frameworks.
- Experience delivering AI solutions in enterprise domains such as manufacturing, supply chain, finance, or customer operations.
- Preferred / Nice to Have
Skills
- ML pipelines and model lifecycle management
- LLM applications (e.g., RAG, agents, copilots, tool/function calling)
- Integration of AI services into enterprise applications
- Communicate status, risks, and outcomes clearly to leadership and stakeholders.
- Ensure AI systems meet standards for reliability, monitoring, cost management, and incident response.
- Virtually every electronic device in the world is produced using our technologies.
Compensation
- $114,100.00 - $194,000.00 Annually
- Our pay ranges are determined by role, level, and location.
- The range displayed reflects the pay for this position in the primary location identified in this posting.
- Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.
- We are committed to complying with all applicable federal and state minimum wage requirements where applicable.
- If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Benefits
- Interns are eligible for some of the benefits listed.
- Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.
Company info
- We are committed to complying with all applicable federal and state minimum wage requirements where applicable.
Equal opportunity
- KLA is proud to be an Equal Opportunity Employer.
- Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
- Equal Opportunity Employer.
This listing is sourced directly from Kla's careers page and normalized into a canonical job model.