Member of Technical Staff: ML Infrastructure

Member of Technical Staff: ML Infrastructure, Platform EngineerJoin to apply for the Member of Technical Staff: ML Infrastructure, Platform Engineer role at Essential AIMember of Technical Staff: ML Infrastructure, Platform Engineer1 day ago Be among the first 25 applicantsJoin to apply for the Member of Technical Staff: ML Infrastructure, Platform Engineer role at Essential AIAbout UsWe believe that a small, focused team of motivated individuals can create outsized breakthroughs. We are building an open platform to fuel and accelerate AI breakthroughs globally. Essential AI’s technology and products have the means to shape AI advancements while supporting scalable and sustainable business models.About UsWe believe that a small, focused team of motivated individuals can create outsized breakthroughs. We are building an open platform to fuel and accelerate AI breakthroughs globally. Essential AI’s technology and products have the means to shape AI advancements while supporting scalable and sustainable business models.The RoleThe ML Infra Platform Engineer will be responsible for architecting and building the compute infra that powers the training and serving of our models. This requires a full understanding of the complete backend stack → from frameworks to compilers to runtimes to kernels.Running and training models at scale often requires solving novel system problems. As an Infra Systems Engineer, you'll be responsible for identifying these problems and then developing systems that optimize the throughput and robustness of distributed systems. With proven experience building large-scale platforms, you will be responsible for building and advancing our systems that allow research and engineering organizations to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless-fast development cycle.What You’ll Be Working OnDesign, build, and maintain scalable machine learning infrastructure to support our model training, inference and applicationsDesign and implement scalable machine learning and distributed systems that enable training and scaling of LLMs. Work on parallelism methods improve training of in a fast and reliable wayYou will help oversee and drive the vision of how we should build, test, and deploy models, while taking ownership and transform state-of-the-art development experience for researchDevelop tools and frameworks to automate and streamline ML experimentation and managementCollaborate with other researchers and product engineers to bring magical product experiences through large language modelsWorking on lower levels of the stack to build high-performing and optimal training and serving infrastructure including researching new techniques and writing custom kernels as needed to achieve improvementsBe willing to optimize performance and efficiency across different acceleratorsWhat we are looking forA strong understanding of architectures of new AI accelerators like GPU, TPU, IPU, HPU etc and their tradeoffs. Knowledge of parallel computing concepts and distributed systems.Experience with Kernels, Low precision training, MoE.Prior experience in performance tuning of training and/or inference LLM workloads. Experience with MLPerf or internal production workloads will be valued.6+ years of relevant industry experience in leading the design of large-scale & production ML infra systems. Experience with Communication Libraries.Experience with training and building large language models using frameworks such as Megatron, DeepSpeed, etc and deployment frameworks like vLLM, TGI, TensorRT-LLM etcComfortable with working under-the-hood with kernel languages like OAI Triton, Pallas and compilers like XLAExperience with INT8/FP8 training and inference, quantization and/or distillationKnowledge of container technologies like Docker and Kubernetes and cloud platforms like AWS, GCP, termediate fluency with network fundamentals like VPC, Subnets, Routing Tables, Firewalls etcWe encourage you to apply for this position even if you don’t check all of the above requirements but want to spend time pushing on these techniques.Essential AI commits to providing a work environment free of discrimination and harassment, as well as equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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Created: 2025-09-17