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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank,…
(Senior) AI Platform Engineer (m/f/d) Buscamos un perfil ( Senior) AI Platform Engineer con experiencia para diseñar, Implementar y mejorar plataformas modernas, escalables y orientadas a IA y Machine Learning.…
Job Details: Job Description: You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a…
Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the…
SRC, Inc. is currently seeking a Senior AI/ML Engineer to lead the technical execution of machine learning and generative AI efforts supporting ISR, EW, advanced sensing, and decision science missions. This role owns…
About the position Join MicroTech Software to build cutting-edge AI-powered tools for insurance professionals. Work on production RAG chatbots, agentic workflows, and voice-to-workflow capabilities. At MicroTech…
Genesis10 is hiring a junior engineer to join an internal AI Acceleration Team serving a global law firm: prototyping, building, testing, and deploying LLM-powered legal document analysis (extraction, classification, risk flagging) with Python, SQL, RAG pipelines, and LLM APIs like OpenAI/Anthropic. Remote-first team based in New York; pays $120k-$160k.
Optimize distributed AI training for 100B+ parameter models across 100k+ GPUs, writing CUDA/Triton kernels and co-designing hardware-efficient training recipes.
Senior ML engineer on Apple's Global Siri team in Beijing, owning the end-to-end lifecycle of on-device LLM adapters and sub-models — training recipes, data curation, fine-tuning, evaluation, and on-device runtime optimization — to ship agentic, reasoning features on iPhones and other Apple devices under strict compute, memory, and latency constraints. Core stack: Python, PyTorch, and modern LLM f
Build production-grade agentic AI systems and MCP integrations for government and commercial clients, focusing on RAG pipelines, tool use, and responsible AI deployment.
Owns serving Luma's multimodal AI models at scale: integrating new architectures into the inference engine, managing GPU fleets across thousands of machines, and building scheduling, deployment, and reliability tooling. Core stack: Python, PyTorch-based serving (vLLM/SGLang/TensorRT-LLM), Linux, Docker, Kubernetes, Redis, S3.
Staff engineer owning the architecture and hands-on delivery of Fanatics' internal AI platform: the LLM gateway, agent/MCP runtime, retrieval layer, evaluation loops, and governance/cost controls. Core stack is Python/FastAPI on AWS (Bedrock), Kubernetes/Terraform, and petabyte-scale data infrastructure.
SixGen is hiring an AI/ML Engineer in Columbia, MD (active TS/SCI with CI poly required) to support US Cyber Command's AI Enterprise platform — designing LLM/agent orchestration workflows, RAG pipelines, model gateway routing, and AI governance guardrails using Python and frameworks like LangGraph, Agno, and NVIDIA NeMo.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
AI71 in Abu Dhabi is hiring an MLOps Engineer to own ML infrastructure strategy — how LLMs and deep learning models are deployed, fine-tuned, and served at scale across SaaS and air-gapped on-prem environments. Core stack: Kubernetes, Python, AWS/Azure/GCP, vLLM/Triton/TGI, MLflow/Kubeflow, DeepSpeed/FSDP.
Builds and optimizes the infrastructure for serving large language models in production on GPU clusters: improving LLM inference speed and latency, creating diagnostics tooling, and applying quantization, pruning, and parallelization. Core stack: C++, Python, CUDA/NVIDIA GPUs, Transformer internals, and engines like vLLM and TensorRT-LLM.
Infrastructure developer optimizing the RL training pipeline behind Yandex's LLM/VLMs used in Alice, Search, and Ads: improving data delivery and checkpointing, inter-block communication, diagnostics tooling, and fault tolerance. Core stack: Python, PyTorch/torch.distributed, distributed parallelism, and CUDA/Triton on NVIDIA GPUs.
Senior AI/ML engineer (SME) at Agile Defense working onsite at Fort Meade to stand up an AI Enterprise platform for cyber operations — taking AI prototypes to governed, enterprise-scale services. Day to day: building LLM/agent orchestration (LangGraph, Agno, NeMo), RAG and vector-DB pipelines, MCP tool integrations, model routing/evaluation, and AI governance guardrails. Requires active TS/SCI wit
Senior AI/ML engineer onsite at Fort Meade, MD supporting a government cyber-operations customer. Day to day: design and integrate LLM agents, RAG pipelines, and MCP tool integrations on an enterprise AI platform, with model routing and evaluation. Requires Python, LLM/agent production experience, and an active TS/SCI clearance with polygraph.
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