Research Scientist

• Set technical direction for core replenishment R&amp;D.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
• Drive fundamental changes to our core system from research through production.
• Lead research and development for new product and business challenges.
• Mentor scientists and engineers, set standards for experimental rigor.

Staff Applied Scientist

• Join our CTO group in Ann Arbor, Michigan
• Engage in the research and development process
• Work on future technology like light sources, lasers, and sensors
• Collaborate with product engineering groups to build products based on mature technology
• Provide technical input into KLA’s strategic planning process, program reviews and Product Life Cycle (PLC) phases
• Leverage broad technology expertise and cross-division experience

• Own design, development, and production deployment of document understanding systems
• Design and deploy semantic chunking models for legal documents
• Build document enrichment systems using taxonomies
• Develop LLM-based knowledge graph construction pipelines
• Lead knowledge distillation efforts for model compression
• Design evaluation frameworks using expert annotation
• Provide technical input on AI strategy and roadmap

Lead Applied Scientist, Document Understanding

• Redefining mobility through human-centered design process
• Creating vehicles and experiences for improved safety, smartness, and connectivity
• Involvement in breakthrough hardware and battery systems development
• Collaborating in a diverse team to shape the future of transportation

Researcher / Senior Researcher, Polymer Technology

• Develop and deploy advanced AI/ML models, including physics-informed and hybrid approaches, to predict battery performance, aging, and degradation
• Build and refine Multiphysics models that couple electrochemical, thermal, and mechanical behavior
• Identify and develop novel modeling approaches for next-generation battery chemistries and systems
• Turn complex experimental and simulation datasets into actionable insights using Python-based scientific computing and ML frameworks
• Partner with engineering teams to translate research into production, integrating models into battery management systems (BMS) and product workflows
• Publish and present your work through peer-reviewed journals, conferences, and technical forums
• Drive technical direction through deep problem solving, collaboration, and influence across disciplines
• Contribute to intellectual property and patents for new algorithms and modeling innovations

Senior Researcher, AI/ML Battery Modeler

• Develop and validate ROM and full order physics-based battery models across a range of chemistries, cell designs, and formats
• Build coupled Multiphysics models capturing electrochemical kinetics, mass transport, heat generation, and mechanical effects
• Investigate degradation mechanisms (e.g., SEI growth, lithium plating, particle fracture) through mechanistic modeling
• Apply modeling to understand and predict performance, lifetime, and safety behavior under real-world operating conditions
• Translate model outputs into actionable guidance for cell design, materials selection, and system-level decisions
• Integrate models into multi-scale and system-level simulation frameworks
• Lead and contribute to deep technical problem solving, grounded in physical intuition and rigorous analysis
• Influence technical direction through scientifically grounded arguments and modeling insight
• Publish and present your work through peer-reviewed journals, conferences, and internal reviews
• Contribute to intellectual property and patents in battery modeling and design

Senior Researcher, Physics-Based Battery Modeler

• Lead process transformation across Analytical Sciences production labs, Foundational Chemistry labs, R&D environments, and Manufacturing Quality Services labs
• Map current-state capabilities while operating in parallel with business-as-usual (BAU) activities
• Identify gaps, redundancies, and inefficiencies across laboratory operations and service delivery models
• Evaluate workflows across multiple sites, teams, and laboratory functions
• Develop and implement skills matrices to assess workforce capabilities and identify proficiency gaps
• Align resources, roles, and processes to optimize efficiency and scalability across the network
• Define and analyze key performance metrics, including samples processed per role, non-conformance/error rates, and time per sample
• Leverage data-driven insights to drive process optimization and continuous improvement
• Implement scalable solutions that enhance throughput, data quality, compliance, and overall operational performance
• Design and implement systems and tools to capture, track, and report key laboratory performance metrics
• Establish standardized methods for data collection, ensuring accuracy, consistency, and traceability
• Enable real-time or near-real-time visibility into operational performance to support decision-making and continuous improvement.

Principal R&D Scientist

• Develop and implement machine learning and AI solutions to address business problems
• Design experiments, build models, and translate research into production-ready features
• Collaborate with product and engineering teams to deliver measurable impact for customers
• Learn from deep domain experts about a variety of complex and interesting real-world problems

See all jobs on JobTailor