This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
Lead a team of data scientists focused on advancing AI-driven threat detection and agentic AI systems using large-scale cybersecurity data. Guide machine learning initiatives from research to production, collaborating with security and engineering teams to develop models for malware detection, behavioural analysis, and automated security responses. Drive innovation through research, technical mentorship, and strategic alignment in a high-impact, mission-driven environment.
This role involves optimizing GPU-accelerated applications for energy simulation and AI workflows, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable multi-GPU solutions. Work includes deep technical engagement on performance, memory, and concurrency across complex scientific computing pipelines.
This role involves optimizing Energy simulation and AI workloads on NVIDIA GPUs, focusing on CUDA performance for seismic processing, reservoir simulation, and power grid modeling. The engineer will profile and tune multi-GPU, multi-node HPC applications, develop reference implementations, and collaborate with customers and internal teams to deliver scalable performance improvements on real-world production workflows.
A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulation, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling to client sites to implement solutions on-site. The position focuses on turning research into practical, high-impact tools using Python, PyTorch, and cloud/on-prem infrastructure.
This role involves leading security initiatives across the software development lifecycle, with a focus on integrating security into CI/CD pipelines, conducting threat modeling, and guiding secure design practices. The engineer will work hands-on to automate vulnerability detection, mentor development teams in secure coding, and engage in customer-facing security reviews. It's a high-impact position shaping the security posture of an AI-driven simulation platform in a collaborative, mission-driven environment.
The role involves designing, building, and maintaining open-source SDKs and developer tools to enhance the adoption and usability of ElevenLabs' AI audio and agent platforms. The engineer will act as 'customer zero' for new developer products, contribute to API design, and create technical content to support developer engagement. This is a hands-on role focused on improving the end-to-end developer experience across multiple programming languages and platforms.
This role involves building and managing datasets and evaluation systems for AI safety, translating safety policies into actionable data criteria, and creating scalable processes for data collection, labelling, and model assessment. The Data Scientist will work across policy, research, and engineering to ensure models are evaluated using real-world data and robust quality standards. A strong focus is placed on developing reproducible pipelines and operationalising safety frameworks in a fast-moving AI environment.
This role involves leading a team of ML engineers while maintaining hands-on technical contributions to production-grade machine learning systems. The engineer will shape ML best practices, guide solution design, mentor junior staff, and lead cross-functional teams through the full lifecycle of AI/ML projects—from discovery to deployment and continuous improvement. A strong emphasis is placed on technical leadership, code quality, and clear communication with non-technical stakeholders.
Develop and scale generative and predictive machine learning models for cellular behaviour using multi-omic biological data. Build robust distributed training and inference systems, bridging ML research and production deployment in close collaboration with scientists. Optimize performance across compute, memory, and I/O while advancing core ML infrastructure in a highly interdisciplinary environment.
Lead and develop the platform engineering team responsible for hybrid infrastructure, Kubernetes-based clusters, and scientific compute environments that support machine learning and drug discovery workflows. Define platform strategy, ensure robust CI/CD, observability, and security, and act as a technical leader across engineering and data science. The role involves shaping a developer platform tailored to computational scientists and genomic data pipelines in a high-impact TechBio environment.
This role involves maintaining and evolving a live SaaS eCommerce platform by translating business problems into reliable software solutions. The developer will balance day-to-day technical support with long-term architectural planning, using AI tools as the primary means of development while ensuring correctness and business alignment. The position emphasizes technical ownership, strategic thinking, and collaboration within a small, stable team.
The Associate Solutions Architect role involves driving the adoption of Claude Code, a cutting-edge AI coding assistant, across enterprise customers. Responsibilities include leading technical workshops, conducting discovery calls, and providing hands-on support during customer evaluations to enhance developer productivity.
Design and build full-stack internal tools and platforms that empower non-technical users by identifying patterns in workflows and abstracting them into reusable systems. Work closely with stakeholders to define priorities, iterate on feedback, and ship features that drive autonomy across the organization. Use Python, TypeScript, and React in a high-impact, collaborative environment focused on AI safety and reliability.
As a Senior Security Researcher, you will focus on AI systems, contributing to rapid prototyping and open-ended research. You will investigate trends in generative AI security, research attacker tradecraft, and provide feedback to product and development teams.
