…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…

…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…

…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…

ABOUT LIQUID AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators…

…Ability to translate complex technical systems into simple user workflows - Comfort operating in ambiguous, fast-moving environments - Track record of owning product work end…

…KEY RESPONSIBILITIES: - Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines. - Lead technical design…

…Join us! Member of Technical Staff, Search Why this role? We are looking for talented individuals to help us develop state-of-the-art…

…Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge…

…Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE…

…Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt…

…As a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything…

…Turn research checkpoints into production-ready inference services Design and maintain high-performance APIs serving millions of requests Optimize inference latency and throughput across…

…About the Role We're hiring a Staff Engineer to own major areas of the architecture of our Inference Cloud Platform. This team owns…

…GPU infrastructure that powers Magic’s model training and inference workloads. A core part of this role is building and maintaining our infrastructure using…

…design kernels with understanding and interaction with training, inference, and RL teams - For a sample of our work, see Magic-Attention, presented at GTC…

…Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of…

…We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is…