
AI/ML Software Engineer
Ann Arbor, MIJobSeen 3 days agoSeen in employer's feed 3 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near Ann Arbor, MI, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
KLA is seeking an AI/ML Engineer to build and deploy agentic AI solutions that automate workflows and support enterprise decision-making. The role is based at the company’s Midwest headquarters in Ann Arbor and involves collaborating with senior engineers and product partners to deliver production-grade AI services, develop agent orchestration approaches, and improve evaluation and monitoring. The ideal candidate has software engineering fundamentals and experience with modern AI frameworks.
Skills & qualifications
Skills
Qualifications
Full job description
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale-faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/DivisionKLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence. What You'll Do In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. We are seeking an AI/ML Engineer to help build agentic AI solutions that automate workflows and support better decisionmaking across the enterprise. In this role, you'll collaborate with senior engineers and product partners to deliver reliable, productiongrade AI services, contribute to agent orchestration approaches, and continuously improve evaluation and monitoring for quality and performance. The ideal candidate brings proven software engineering fundamentals and experience with modern AI frameworks. This is a handson builder role focused on collaborative design, implementation, and deployment of agentic AI systems. If you enjoy building, experimenting, and learning while deploying real AI systems, we'd love to hear from you! This role will be based at our Midwest HQ in Ann Arbor, MI Key Responsibilities Build and deploy agentbased AI systems, including autonomous and semiautonomous 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 (e.g., A/B tests, workflow refinements) to improve agent performance. Work closely with crossfunctional partners to deliver impactful business outcomes. Preferred Qualifications 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. Minimum Qualifications Bachelor's degree in Computer Science, Data Science, AI, or a related field. Master's and/or PhD preferred Minimum of 3-5 years of experience in AI/ML, with a proven track record of deploying solutions in a production environment. Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit-learn, etc. Experience with RAG is essential. 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. About KLA We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Sr. AI/ML Engineer SystemsKLATencor Corporation · Ann Arbor, MIAI EngineerFord Motor Company · Dearborn, MI (Hybrid)
Senior Agentic Software EngineerBosch Group · Plymouth, MI (Hybrid)Posted 2 days agoPosted 2 days ago
Artificial Intelligence Senior AssociateHTC Global Services Inc · Dearborn, MI (Hybrid)
Algorithm Engineer (CLAEAA)KLA-Tencor Corporation · Ann Arbor, MI · $145–220K/yr
You've read the whole posting — now see how you match it.