Job Description/Preferred Qualifications
We are seeking aAI/ML Engineer 6 Systemsa0to helpa0turn AI/ML research into systems that run reliably in production. In this role, youe28099ll work with aa0small, collaborative teama0of ML engineers, subjectadmatter experts, software engineers, and product partners to integrate AI/ML capabilities intoa0scalable, productionadready systems that teams depend on.
This is ahandsadadadon systems rolea0focused on integration, performance optimization, and operational excellence for AI/ML workloads. If you enjoya0owning real problems, learning how complex systems scale, and improving AI systems that are actively used in production, wee28099d love to hear from you! This role will be based at our Midwest HQ in Ann Arbor, MI.
Key ResponsibilitiesIntegrate AI/ML components intoexisting applications, services, and pipelines, with a focus on longadterm reliability and maintainability.
Improve system and model performance acrosslatency, throughput, reliability, and resource efficiency, and participate in practical tradeadoff discussions.
Collaborate on the design and implementation ofscalable, resilient AI/ML systemsa0that evolve as new use cases emerge.
Help ensure AI/ML systems meetenterprise expectationsa0for security, compliance, observability, and operational readiness.
Support deployment, monitoring, and troubleshooting of AI/ML systems in production.
Work closely with crossadfunctional partners to deliverstable, highadimpact AI capabilities.
Preferred QualificationsExperience withMLOps or ML systems engineeringad practices such as CI/CD, monitoring, model versioning, or rollback strategies.
Familiarity with containerized or cloudadbased deployment environments.
Exposure to performance tuning, reliability engineering, or operational support for AI/ML systems.
Why Youe28099ll Enjoy Working With UsWe build AI systems the same way we build teamsadadadbyworking closely together, learning continuously, and being thoughtful about the tradeadoffs we make.
Youe28099ll deepen your systems expertise by working on AI solutions used by real teams, seeing how those systems behave in production, and learning from experienced engineers along the way.
As you grow, youe28099ll also have opportunities totake on more ownership and mentor others, shaping how AI systems are built and operated.
Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, AI, or a related field. Master's and/or PhD preferred
Minimum of eight (8) years of relevant software engineering, along with 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.
Base Pay Range: $129,600.00 - $220,300.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLAe28099s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including 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, and family care and bonding leave.
Interns are eligible for some of the benefits listed. 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.
