Job Description/Preferred Qualifications
We are seeking a highly skilled Sr. Software Engineer with specialized expertise in Machine Learning, Artificial Intelligence, and Data Science to join our innovative technology team. This role will be key in developing impactful AI solutions that drive business transformation and technological advancement. The ideal candidate will combine strong technical skills with business intelligence to translate complex requirements into practical, scalable applications that deliver measurable impact.
Key Responsibilities:
AI/ML Solution Development: Design, develop, and implement machine learning models and AI algorithms to address business challenges. This includes data preprocessing, model training, validation, and deployment.
Scalable Architecture Design: Architect and design scalable systems that can handle large volumes of data and complex AI/ML workloads, ensuring high performance and reliability
Production-Ready Solutions: Implement AI/ML solutions that are robust, maintainable, and ready for production environments. This includes considerations for security, compliance, and operational efficiency.
Innovation and Research: Stay abreast of the latest developments in AI, ML, and data science. Conduct research to explore new methodologies or improve existing ones, ensuring our solutions remain innovative.
Collaboration: Work closely with multi-functional teams including data engineers, product managers, software developers, and business partners to integrate advanced solutions into our products and services, ensuring alignment with business objectives.
Problem Solving: Apply critical thinking to solve complex problems, often requiring innovative approaches to data analysis, model architecture, system integration, and business strategy.
Deployment and Monitoring: Oversee the deployment of AI/ML models into production environments, ensuring scalability, performance, and reliability. Monitor model performance post-deployment and iterate as necessary.
Documentation and Knowledge Sharing: Document processes, methodologies, and findings. Share knowledge through internal presentations, workshops, or by contributing to our knowledge base.
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 software engineering, 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.
This is a hybrid role and will be based out of our Midwest HQ in Ann Arbor, MI.
Preferred:
Experience with specialized AI domains or industry-specific applications.
Contributions to open-source projects or research publications in AI/ML.
Knowledge of AI ethics and responsible AI practices.
Base Pay Range: $129,600.00 - $220,300.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA’s 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.
