ML Engineer: Distributed Inference & Model Serving
ByteDance
A leading technology company in Seattle is seeking a Machine Learning Engineer for Model Serving Infrastructure. The ideal candidate will have at least 5 years of experience and strong programming skills in C/C++/CUDA. You will design and implement distributed inference infrastructure and collaborate with product teams. This position offers a competitive salary and benefits in a dynamic work environment. #J-18808-Ljbffr ByteDance
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...Inferentia and Trainium ML accelerators. This... ...unparalleled ML inference and training... ...running a wide range of models and supporting... ...software boundary, our engineers build systematic... ...computing, and distributed architectures, where... ...offline inference serving with vLLM, SGLang,...SuggestedWork experience placementInternshipLocal areaFlexible hours- ...At Atlassian, the ML System Engineer will design and optimize large-scale model serving systems, spanning distributed infrastructure to low-level GPU kernel optimizations. You’ll... ...serving systems, benchmarking and tuning inference engines, and partnering with senior ML engineers...SuggestedRemote job
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...well every downstream ML model performs: better signals... ..., and online serving — and we close the loop... ...Senior Machine Learning Engineer to design and build the... ...low-latency, high-QPS inference for real-time bidding.... ...Experience with large-scale / distributed model training and...Full timeLocal areaWork from home- ...now scaling that model rapidly across the... ...One unified stack serves seven core surfaces... ...looking for experienced engineers and researchers... ...-device real-time inference.- Generative... ...TensorFlow, including distributed training and model... ...results in major ML competitions.Req ID...Temporary workShift work
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...of the Product and Engineering team at PitchBook,... ...(MLE) on the AI & ML (Insights) team,... ...operationalization of ML models, including their... ...models that can infer meaning and... ...data pipelines and distributed systems using technologies... ...a veteran who served on active duty in...For contractorsWork at officeRemote workVisa sponsorship- ...Machine Learning Engineer for our Personalization... ...and ranking models that drive engagement... ...architecture, ML infrastructure, and... ...from training and serving pipelines to CI/CD... ...) and low-latency inference. ~ Hands-on experience... ...~ Solid grasp of distributed systems,...Work at officeFlexible hours
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...applications in any location. Distributed across 200+ public... ...a Machine Learning Engineer to join our... ...deploy end-to-end ML pipelines spanning... ...evaluation, and high-scale serving Develop deep learning models for security use... ...building scalable inference optimization...Full timeWork at officeLocal areaRemote work$204k - $216k
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...Services Join the Apple Service Engineering (ASE) team and drive... ...integrate Large Language Models into our software... ...safely and effectively deploy ML-powered features. You will... ...architectural decisions for distributed systems involved in model serving, prioritizing reliability...Relocation- ...office, from home, or mix the two to fit their needs. As an ML System Engineer on the AI & ML Platform’s Inference team, you’ll design and optimize large-scale model serving systems end-to-end, owning distributed infrastructure and deep low-level optimizations. You’ll...Work at officeWork from home
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...Engineering | Seattle, United States | Remote, Remote... ...legal entity. As a ML System Engineer on... ...the AI & ML Platform’s Inference team, you will design... ...optimize large-scale model serving systems end-to-end.... ...own everything from distributed infrastructure (global...Work at officeLocal areaRemote work- ...country where we have a legal entity. As a ML System Engineer on the AI & ML Platform’s Inference team, you will design and optimize large-scale model serving systems end-to-end. You will have the chance to own everything from distributed infrastructure (global KV cache,...Work at officeLocal area
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