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Salary: $45k - $60k p.m. Our Client is the de facto central bank and primary financial regulator of Hong Kong As an AI/ML Platform Engineer, you will contribute to both the development and ongoing operation of…
Principal-level engineer to own the multi-year roadmap and architecture for Nscale's inference, evals, and post-training platform on its GPU cloud, setting standards that 20-50+ engineers build to. Core work spans GPU kernel efficiency, serving/KV cache architecture, quantization, benchmarking/evals, and RL infrastructure. Salary $290k-$443k USD plus bonus and equity.
Build production document-extraction systems powered by vision-language models: Python/FastAPI services with PostgreSQL and queues, fine-tuning open-weight VLMs (LoRA/QLoRA), and serving them at scale with vLLM/Triton on GPU budgets. Remote from anywhere, or hybrid from offices in Kyiv, Lviv, or Warsaw.
Product area The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency,…
Senior engineer on Arm's Central Technology ML compiler team in Ra'anana, designing and implementing an AI/ML compiler that integrates with Arm's ML software stack — covering model ingestion, low-level hardware programming, memory allocation, and performance optimization, primarily in C++ and Python with MLIR/TVM.
Design and implement an AI/ML compiler at Arm's Central Technology Machine Learning Group, covering ML graph compilation such as model ingestion, memory allocation, and performance optimization for Arm platforms. Core stack: C++, Python, and ML compiler technologies like MLIR/TVM.
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Ready for a challenge that puts you at the center of AI innovation for cyber operations? Are you an experienced AI/ML engineer who thrives in a fast-paced environment, enjoys turning research and prototypes into real…
Top 3 Reasons To Join Us Attractive salary, benefits, hybrid working Technical training sessions (internal – external) PVI Healthcare insurance The Job Join in developing and applying the ML/DL techniques to resolve…
Archangel Autonomy is hiring a Forward Deployed Software Engineer in Syracuse, NY to adapt and deploy vision and language AI models for compute-constrained, field environments at the tactical edge. The role involves hands-on Python/Linux work with LLMs, RAG, Docker, and PyTorch, plus up to 30% travel to customer sites to build and troubleshoot systems in the field.
Kan du forklare attention på en serviet, træne en transformer fra bunden, og bygge de evals, der afslører, om den faktisk virker? Og vil du bruge dine evner på noget, der virkelig betyder noget? Så har vi en mission,…
Kan du tage et uklart behov fra en kunde og selv forvandle det til software, der virker? Koder du i Rust, TypeScript, eller Python, og tænker du i platforme frem for enkeltløsninger? Så vil vi gerne have dig med til at…
About Nebius: Nebius 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…
Senior AI inference infrastructure engineer at Recho (Tokyo, hybrid) who independently designs and implements the inference framework for voice AI models and LLMs, optimizing throughput and GPU cost with Python, PyTorch, vLLM/SGLang, and Kubernetes/Slurm/Ray. English is the team language; annual pay ¥10M–¥20M.
Senior Staff ML Engineer to lead the AI behind Altana Nexus, an agentic platform for global trade: building ingestion-to-decision pipelines over shipments and customs data, fine-tuning and evaluating LLMs, and shipping real-time risk/compliance decisions. Core stack is Python/PyTorch with LLM tooling (RAG, agents, vLLM, LangGraph) on cloud data infrastructure.
Lead the AI behind Altana Nexus, an agentic platform for global trade: drive architecture and build ingestion-to-decision ML pipelines and LLM agents that turn shipments, customs filings and trade documents into real-time risk, classification and compliance decisions. Core stack is PyTorch, the Python ML ecosystem, and production LLM techniques (RAG, SFT/DPO/RL, evals).
Senior Software Engineer builds and optimizes a Kubernetes-native cloud platform for AI inference workloads, focusing on low-latency, high-scale GPU services and performance tuning.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
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