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Senior engineer on Wealthsimple's ML Infrastructure team in Toronto, building the backend and cloud/GPU infrastructure that hosts and serves open-source LLMs, plus model routing (LiteLLM) and evaluation tooling for GenAI across the company. Core stack: Python, FastAPI, Kubernetes, Terraform, AWS.
Canada Guaranty, a Canadian mortgage insurer, is hiring an AI Engineer in Toronto to design, build, and operate production AI applications using LLMs, RAG, and machine learning, primarily in Python. The role spans the full AI lifecycle: experimentation, model selection, API/backend development, and MLOps-driven deployment and monitoring.
Senior SRE at Parasail, a startup building an enterprise-grade inference cloud for open-weight AI models. Day to day you scale a global GPU fleet on Kubernetes, automate infrastructure operations, improve failure isolation and recovery, build observability, and own incident response in production.
A senior individual-contributor role on AMD's AI Models and Applications team, focused on scaling training and inference for large generative AI models (LLMs, 3D world/action models, image/video generation) on AMD hardware. Day-to-day work spans efficient architectures, parallelism and KV-cache strategies, and open-source frameworks like PyTorch, JAX, vLLM, and SGLang. Hybrid in San Jose; Seattle
This role will be based in Mountain View, CA or Bellevue, WA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The…
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data engineering, data curation, and machine…
Nous recherchons un·e Développeur.euse sénior, Traitement de Données ML pour participer au développement, à l’édition et à la mise à l'échelle de notre pipeline d'actifs de données. À la jonction de…
LawZero, a non-profit AI safety research organization, seeks a senior distributed ML engineer to work alongside research scientists on training and serving very large models. Day to day: profile and optimize distributed training/inference, debug performance bottlenecks, build tooling to orchestrate distributed compute, and document large-scale ML workflows using frameworks like Megatron, DeepSpeed
Build a brand-new LLM inference platform from scratch in Rust for a seed-stage stealth AI-infrastructure startup: own batching, scheduling, KV cache/prefix caching, request routing, and multi-GPU/multi-node serving, profiling for latency and cost per token. Stack centers on Rust plus Python/PyTorch, vLLM/SGLang/TensorRT-LLM, and CUDA/Triton/NCCL.
Name of the Position: AI/ML Engineer – Computer Vision & Robotics Location/Modality: Guadalajara, Jalisco | On-site About the role: Serás responsable de construir y evolucionar nuestro pipeline de IA para…
Leads a team of engineers building ML performance tooling at Google — debugging and optimizing ML workloads across the TPU/XLA stack, building profiling and visualization insights (Xprof), and partnering with open-source inference frameworks like vLLM and SGLang. Combines hands-on technical leadership with people management.
About Qevlar AI Qevlar is a B2B SaaS scale-up on a mission to boost the productivity of cybersecurity teams with Artificial Intelligence. We build an AI platform that transitions Security Operations Centers from…
Konzeption und Umsetzung von End-To-End GenAI- und ML-Infrastrukturen, die den kompletten Lebenszyklus von AI-Anwendungsfällen abdecken – von der Datenaufbereitung über Training und Fine-Tuning von Modellen (z. B.…
Мы развиваем GigaChat и ищем сильного руководителя направления RL Efficiency. Это роль для человека, который возьмёт на себя эффективность всего RL-контура: обучающий цикл, rollout, reward-сигналы, взаимодействие с…
Мы развиваем GigaChat и ищем сильного ML-инженера в команду online RL. Это роль для человека, который умеет доводить исследовательские идеи до работающих решений: проектировать и запускать эксперименты, строить…
Engineer CUDA kernels and inference engines to make Sber’s GigaChat LLM respond to users in milliseconds while minimizing GPU costs, using custom architectures and optimizations like speculative decoding and KV-cache tuning.
Dimensionner et déployer le cluster GPU sur OVHcloud : choix des instances et des cartes, arbitrages coût / mémoire / débit, réseau et stockage adaptés aux poids de modèles, le tout décrit en Terraform comme le reste…
3 postes à pourvoir Il s'agit d'un poste junior pour une personne qui vient de terminer ses études (diplôme universitaire ou master en informatique) et qui souhaite travailler sur l'entraînement de LLM de…
Designs, deploys, and operates industrial generative-AI platforms on Kubernetes/Red Hat OpenShift: high-throughput LLM serving (vLLM, KServe), GPU orchestration and FinOps, RAG and multi-agent pipelines, sovereign fine-tuning, and GitOps automation with ArgoCD and Ansible.
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