Senior ML Engineer (Token Factory)

ph3About the company: /h3 pthe company is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. /p pBuilt by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. /p pListed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with RD hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI RD. /p h3The role /h3 pToken Factory is a part of the company Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs. /p h3Some directions we are currently working on, and which you can be a part of: /h3 ul liInference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5). /li liInference engines support: Implement novel speculative decoding architectures, optimisecomponents of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines. /li liLow Precision Training Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency. /li /ul h3We expect you to have: /h3 ul liA profound understanding of theoretical foundations of machine learning and transformer architecture. /li liExperience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools /li liUnderstanding of GPU memory hierarchy and compute/memory tradeoffs /li liFamiliarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation /li liUnderstanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.) /li liStrong software engineering skills (we mostly use Python) /li liDeep experience with modern deep learning frameworks /li liProficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing /li liStrong communication and leadership abilities /li /ul h3Nice to have: /h3 ul liExperience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions /li liExperience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA /li liA track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment. /li liStrong engineering skills, including experience in developing large distributed systems or high-load web services. /li liOpen-source projects that showcase your engineering prowess /li liExcellent command of the English language, alongside superior writing, articulation, and communication skills. /li /ul h3Benefits Perks: /h3 ul liCompetitive compensation /li liCareer growth and learning opportunities /li liFlexibility and ownership /li liCollaborative and innovative culture /li liOpportunity to work on impactful AI projects /li liInternational environment and talented teams /li /ul h3What's it like to work at the company: /h3 pFast moving- Bold thinking- Constant growth- meaningful impact- Trust and real ownership- - - - - - - - - - - - - - - - - - - - /p h3Equal Opportunity Statement: /h3 pthe company is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. /p pApplicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. /p pIf you need accommodations during the application process, please let us know. /p /p #J-18808-Ljbffr