ML Research Engineer

vor 3 Wochen

Zürich, Schweiz Lyceum Vollzeit

ML Research Engineer - Runtime Prediction About Lyceum Lyceum is building a user‑centric GPU cloud from the ground up. Our mission is to make high‑performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We’re not just deploying infrastructure, we’re designing and building our own large‑scale GPU clusters from scratch. If you’ve ever wanted to help shape a cloud platform from day one, this is your moment. The Role You’ll join our R&D team to work on runtime prediction, hardware selection, and workload efficiency. You will design experiments, build models that predict resource requirements, and deploy them on our infrastructure to automate scheduling and cost prediction for customers. What we are working on Runtime prediction models & scheduling heuristics Benchmarking across LLMs, vision & multimodal models Throughput, latency & stability optimisation at scale Workload profiling (VRAM/compute/memory) Reference pipelines, reproducible evaluation suites Practical docs, baselines, and performance guidance What We’re Looking For PhD in applied AI/ML OR Master’s in CS/AI/ML + 2+ years industry experience (Research Engineer/Scientist) Strong fundamentals in model training & evaluation Experience from a successful startup, big tech, or top research lab Technical knowledge in model efficiency or GPU performance (quantization, pruning, large‑scale training, profiling) Ownership and rigor in experimentation Clear writing; reproducible results Based in CH or open to relocating to Switzerland Tech stack: Python, PyTorch/JAX (and/or TensorFlow). CUDA/GPU literacy is a plus. Bonus Points Large‑scale or distributed training experience Dataset curation, evaluation design, reproducibility Publications or high‑quality open‑source work Why Join Us Build from zero: This is a rare opportunity to join a startup at the earliest stages and shape not just the product, but the foundation of the company. You’ll have real ownership over what you build and the freedom to do things right from the beginning. Hard, meaningful problems: We’re tackling some of the most interesting challenges in cloud infrastructure, scheduling, and performance optimization, at the intersection of hardware and AI. World‑class hardware: You’ll be working directly with cutting‑edge GPU hardware and helping build the most performant compute platforms in Europe. Everything else: Compensation, equity, healthcare, team events etc – it’s our job to make sure you have everything you need to do your thing Lyceum is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr

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