AI Research Scientist

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

AI Research Scientist, Applied AI

• Architecting and delivering scalable prototypes for various features
• Research, design, and prototype cutting-edge generative AI solutions that enhance CrowdStrike's AI Detection and Response capabilities
• Create, curate, and maintain high-quality datasets for training and evaluating deep learning models; establish data collection pipelines, labeling workflows, and quality assurance processes to ensure dataset integrity
• Conduct experiments to further the capabilities of existing models

Senior AI Scientist – AI Detection and Response

• Design and analyze neuromorphic AI algorithms for robotics, signal processing, control, and learning on edge platforms
• Develop research-quality software artifacts including APIs, kernels, and benchmarking tools that enable collaborative innovation
• Prototype and evaluate approaches under realistic constraints including quantization, sparsity, memory footprint, latency, and energy optimization
• Collaborate with hardware and software engineering teams to translate algorithmic requirements into hardware specifications
• Build experimental pipelines and benchmarks for target use cases with comprehensive baseline and ablation studies
• Communicate results through technical documentation, customer prototypes, and publications in leading conferences and journals
• Contribute to technical thought leadership in neuromorphic computing and present findings to internal and external stakeholders

Neuromorphic/AI Research Scientist

• Post-training for model development
• Develop novel algorithms that improve model reliability, controllability, and alignment
• Design and run experiments that shape model behavior
• Partner with infrastructure teams to build scalable, reproducible workflows
• Contribute to publications, patents, and external research visibility
• Drive human-in-the-loop evaluation with high annotation quality
• Communicate technical risks, limitations, and trade-offs clearly to leadership

Principal AI Research Scientist – Post-Training, Alignment, Reinforcement Learning

• Develop and deploy AI models across the insurance value chain, leveraging both supervised and unsupervised learning techniques.
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven decision support.
• Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement.
• Develop data pipelines for ingestion, transformation, and storage to support AI/ML workloads.
• Design and implement scalable solutions using cloud-based AI platforms such as Azure Machine Learning, Databricks.
• Implement MLOps best practices, including CI/CD for model training, validation, deployment, and monitoring.
• Develop generative AI models for personalized customer experiences and automation of complex decision-making processes.
• Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources.
• Optimize AI models for performance, scalability, and reliability in enterprise environments.
• Conduct architecture design reviews and performance tuning for AI/ML applications
• Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies.
• Ensure compliance with ethical AI principles, model governance, and data privacy regulations.
• Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct.
• Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More.
• Other duties as assigned.

Senior Data and AI Scientist

• Help trailblaze company efforts in applying AI within conventional compilation pipelines.
• Design and implement AI-based technology addressing core problems of low-level GPU programming.
• Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants).
• Define model inputs/outputs over compiler low level compiler representations.
• Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness.
• Intelligent (domain task based) prompt engineering.
• Collaborate with compiler engineers to integrate learned policies into production toolchains.
• Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks.
• Create datasets from compiler traces, optimization passes, and target-specific performance signals.
• Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets.

AI Research Engineer – Applied Scientist, Compilers

• Propose and implement engineering solutions to ensure delivery of functional, reliable, secure, and performance-optimal GPU clusters to internal researchers.
• Design, develop and maintain engineering solutions to understand the pain points of validating, monitoring and operating GPU clusters at scale.
• Research in traditional AIOps and the emerging Agentic AI, and leverage it to further reduce the operation toil.
• Participate in on-call support for systems, platforms built and owned by the team.

Senior Software Engineer – AI Research Clusters

• Help trailblaze company efforts in applying AI within conventional compilation pipelines
• Design and implement AI-based technology addressing core problems of low-level GPU programming
• Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants)
• Define model inputs/outputs over compiler low level compiler representations
• Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness
• Intelligent (domain task based) prompt engineering
• Collaborate with compiler engineers to integrate learned policies into production toolchains
• Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks
• Create datasets from compiler traces, optimization passes, and target-specific performance signals
• Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets

• Lead webAI’s AI and ML research strategy including long-term vision, experimentation roadmap, and architectural innovation
• Oversee research on LLMs, diffusion and multimodal models, inference optimization, and distributed execution
• Advance techniques for compression, quantization, distillation, and privacy-preserving learning for edge and on-device AI
• Collaborate with Engineering and Product teams to translate research breakthroughs into scalable production-ready capabilities
• Build, mentor, and lead a world-class research team fostering creativity, scientific rigor, and innovation
• Evaluate emerging technologies, academic research, and industry trends to influence strategic direction
• Design and evaluate experiments, benchmarks, and methodologies for model performance and efficiency
• Represent webAI in research discussions with customers, partners, and the broader AI community
• Ensure research initiatives align with customer missions, security requirements, and enterprise needs

AI Research Director

• Research, design, and prototype cutting-edge generative AI solutions that enhance CrowdStrike's AI Detection and Response capabilities
• Create, curate, and maintain high-quality datasets for training and evaluating deep learning models
• Conduct experiments to further the capabilities of existing models

See all jobs on JobTailor

AI Research Scientist, Applied AI

Senior AI Scientist – AI Detection and Response

Neuromorphic/AI Research Scientist

Principal AI Research Scientist – Post-Training, Alignment, Reinforcement Learning

Senior Data and AI Scientist

AI Research Engineer – Applied Scientist, Compilers

Senior Software Engineer – AI Research Clusters

AI Research Engineer – Applied Scientist, Compilers

AI Research Director

Senior AI Scientist – AI Detection and Response