Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and implement strong MLOps practices.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow...
This role involves designing and building scalable AI solutions using Generative AI, Agentic AI, and modern cloud platforms. You will lead technical delivery, mentor junior engineers, and contribute to engineering standards and best practices within a fast-paced, collaborative team environment.
This role involves working on the core systems powering avatars and generative media, ensuring scalability, reliability, and extensibility. You will collaborate with product, design, R&D, and adjacent teams to integrate model capabilities and maintain high code quality standards.
This role involves developing and improving the core speech and voice generation systems within Synthesia's AI video platform. The engineer will work across backend and frontend layers to build reliable, scalable features for script preview, voice orchestration, and voice quality, integrating multiple Text-to-Speech providers and building recommendation systems. The position emphasizes ownership of end-to-end feature development, rapid iteration, and close collaboration with product, design, and AI teams.
This role involves leading end-to-end QA strategy as the sole QA engineer in a tech-for-good company building AI-powered tools. You'll focus on building and improving test automation for web and native mobile applications using Playwright, Appium, and a custom LLM test harness, while collaborating closely with development and product teams. The role offers autonomy to shape QA practices, especially as the company transitions toward medical device standards.
This role involves leading QA and automation efforts for a tech-for-good company that builds AI tools to support people with additional needs. You will be the sole QA, working closely with developers and product teams to improve and implement robust testing strategies for both web and mobile applications.
This role involves designing and building a production-grade agentic operating system to transform how Multiverse functions internally. You'll architect multi-agent coordination, develop evaluation and cost optimization systems, integrate AI agents with existing platforms, and establish engineering standards for AI-first operations. The work directly shapes both Multiverse's internal transformation and the broader blueprint for AI adoption in workforce education.
This role involves leading the technical strategy for public sector AI projects, converting mission requirements into robust architectural roadmaps, and guiding on-site implementation. You will architect production-grade AI applications, ensure cloud infrastructure security and scalability, and mentor senior and junior staff to align with a cohesive technical vision.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on transforming pharma intelligence. Collaborate across engineering and product to build scalable AI solutions, optimize infrastructure for performance and cost, and explore advanced techniques like code interpretation and LLM tooling. The role emphasizes innovation, mentorship, and staying current with advancements in machine learning and AI.
Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring, within a data science team focused on pharma intelligence. Collaborate across product, data science, and engineering to build scalable AI solutions using advanced ML infrastructure and LLM-driven techniques. The role emphasizes system optimization, architectural innovation, and knowledge sharing in a high-impact healthcare domain.
Forward Deployed Solution Engineer - Applied AI FDEFull-timeEmployee Type: RegularRegion: EMEA - Europe, Middle East and AfricaWork Persona: Flexible or RemoteCompany DescriptionIt all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She...
