Future Tech Jobs
Future Tech Jobs
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, focusing on the Cosmos World Foundation Models. You will work closely with research scientists, software engineers, and hardware experts to improve inference speed and deploy models in production settings.
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and large data sets to generate high-impact customer insights.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities, working with non-traditional datasets, and collaborating with business stakeholders to drive initiatives from prototypes to production. The team focuses on using sophisticated neural networks and large datasets to generate high-impact customer insights.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates to customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will drive technical decisions, mentor team members, and travel to customer sites to build solutions on-site, ensuring practical and impactful outcomes.
As a Machine Learning Engineer, you will collaborate with Data Scientists, Simulation Engineers, and customers to solve complex engineering and physics challenges. You will design, build, and test reliable, scalable ML data pipelines, manipulate 3D point cloud and mesh data, and ensure the successful deployment of AI models in real-world applications.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
This role involves pushing the frontier of large language model (LLM) development, focusing on enhancing model intelligence, efficiency, and capabilities. Responsibilities include designing and scaling new architectures, executing and analyzing experiments, and optimizing model and computational performance.
This role involves working in a highly creative, iterative environment to advance foundational AI models for drug design. You will collaborate with scientists and engineers, implement and optimize state-of-the-art ML models, and contribute to the development of innovative solutions in computational biology and chemistry.
Leads the Computational Drug Design team in advancing drug discovery by integrating AI/ML with computational chemistry. Drives strategy, mentors scientists, and collaborates across disciplines to accelerate candidate nomination. Plays a key role in shaping AI-driven workflows and managing external partnerships.
This role involves leading the research and development of trustworthy AI systems, focusing on safety, robustness, and efficiency. You will contribute to the Online Safety Research Roadmap, design and evaluate solution architectures, and conduct hands-on experiments in collaboration with a team of experts.
This role involves delivering technical AI and machine learning curriculum through workshops and mentoring, supporting apprentices in developing practical skills aligned with industry needs. The lead will facilitate sessions on topics including data ethics, model deployment, and responsible AI, while contributing to continuous improvement of learning products. A strong emphasis is placed on creating an inclusive, engaging learning environment and guiding apprentices through complex technical concepts in real-world business contexts.
This role involves delivering technical AI and machine learning curriculum to apprentices through workshops and mentoring, while fostering engagement and professional growth. The trainer will cover core topics including ML lifecycle, data ethics, model deployment, and MLOps, ensuring learners develop practical skills aligned with industry needs. Continuous improvement of learning content and collaboration with coaching teams are key to driving apprentice success.
As a Senior Research Data Scientist, you will drive the development of advanced AI models and capabilities, focusing on transformer-based architectures and generative AI. You will collaborate with senior leaders, engineers, and academic partners to translate innovative research into scalable solutions that influence product and platform strategy.
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.
