Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves deploying and optimizing CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, and provide technical leadership in integrating Falcon’s AI features into client environments. A key focus is reducing false positives while enhancing detection efficacy through AI-driven security solutions.
This role involves developing novel machine learning models and algorithms to accelerate drug discovery through AI. You'll work in an interdisciplinary environment, applying deep learning techniques to complex biological and chemical problems, while collaborating closely with scientists and engineers. The focus is on creating scalable, cutting-edge AI solutions that advance rational drug design.
A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to advance drug discovery at digital speed. Working in an interdisciplinary team, they will apply cutting-edge AI techniques to complex biological and chemical problems, iterating on model design, training, and inference to unlock new scientific insights. The role emphasizes innovation, collaboration, and technical leadership in a high-impact research environment.
As a Senior Software Engineer on the data engineering team, you will work on building and maintaining ultra-high-scale data platforms that process petabytes of data. Your responsibilities will include writing fault-tolerant Java code within Apache Spark, designing scalable data pipelines, and improving the efficiency and latency of high-performance services. You will also research and implement new ways to query data efficiently and provide insights into active threat trends.
As a Data Scientist, you will work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and deliver bespoke data science solutions. You will design and implement algorithms and software architectures, build strong client relationships, and contribute to Faculty's thought leadership through teaching and public speaking.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
This role involves architecting and building core technology from the ground up as a founding engineer in a high-growth startup environment. The engineer will solve complex technical challenges, make key decisions across infrastructure and product development, and shape the company's technical direction. Emphasis is on rapid iteration, system scalability, and ownership across the full stack.
As a Generative AI Director, you will lead the design and delivery of production-grade LLM systems, architect scalable APIs, and drive innovation across the firm. You will work closely with ML Engineering, Product Management, and Cloud Engineering to ensure AI solutions are reliable and deliver real business impact.
Lead the Diagnose & Prescribe (D&P) engineering team responsible for assessing skill gaps, prescribing learning paths, and onboarding learners within an AI-native, event-driven system. You'll own technical direction, team health, and delivery across services with real financial and regulatory impact, while driving AI-native development practices and collaborating closely with Product, Design, and go-to-market teams.
