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Senior Machine Learning Engineer, Foundational Models and Agentic systems
Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting-edge technology. If you love having stretch goals, challenges, and making customers…
Staff Software AI Engineer
Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human…
Amazon Sr. Software Development Engineer, Inference Team - AWS Neuron
AWS Neuron is the complete software stack for AWS Inferentia and Trainium, AWS purpose-built accelerators for cloud-scale machine learning. This senior software engineering role is part of the Machine Learning…
Software Development Engineer – Agentic AI
Job Title: Software Development Engineer – Agentic AI About Trellix Trellix is a global company redefining the future of cybersecurity. The company’s comprehensive, open, and native cybersecurity platform helps…
Senior AI Platform Engineer
Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s Louisiana-based export projects service the global demand for North American natural gas…
Data Science Team Leader
Lead a team building a next-gen GenAI Co-Pilot that delivers real-time intelligence and autonomous guidance for security analysts using LLMs, RAG, and agentic workflows.
Principal Product Manager, Augmented Memory Grid (AMG)
Own the roadmap for Augmented Memory Grid (AMG), a cloud- and AI-native data infrastructure that offloads KV/prefix cache to reduce LLM inference cost-per-token and improve throughput.
Senior / Principal Applied AI Engineer (UK / Europe, Remote)
Build and ship AI agents and agentic workflows that automate internal processes and eventually integrate into a professional trading platform, using Python/TypeScript and LLM APIs.
Staff Machine Learning Engineer, LLM Quantization & Deployment
Build and deploy optimized large language models for autonomous vehicles, focusing on quantization (PTQ/QAT), inference pipelines, and performance benchmarking on XPENG’s Turing AI chip.
Senior Machine Learning Engineer
Build and deploy quantized large language models for autonomous-vehicle inference, focusing on PTQ/QAT, mixed-precision, and runtime integration with PyTorch and TensorRT-LLM.
Lead Data Scientist
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
Member of Technical Staff - Machine Learning Infrastructure Engineer
Build and scale ML infrastructure for post-training research on large language models, including compute, scheduling, and evaluation systems using PyTorch/JAX and cloud platforms.
Ingeniero/a de Software Full Stack - Especialización IA Generativa
Build and deploy AI-powered full-stack apps using Python/Django, Angular, and Azure AI. Focus on LLMs, prompt engineering, and agent workflows with Docker and LangChain.
Senior DevOps AI Platform Engineer (Remote, NC, US, 99999)
Build and scale the enterprise DevOps operating model for GXO’s Agentic AI Platform on GCP and Kubernetes, owning secure CI/CD, Terraform infrastructure, and AI model-serving pipelines.
System Software Engineer, LLM Inference
Build and optimize open-source LLM inference engines for CXL-based memory offloading, integrating cryptographic acceleration and contributing upstream to AI infrastructure projects.
Applied AI Engineer
Build and ship end-to-end AI features that turn model capabilities into reliable, real-world user workflows using Python, LLMs, and vector DBs.
AI Engineer
Build and optimize a locally hosted AI platform, deploying and running GPU-powered models, tuning inference pipelines, and integrating AI into internal tools.
DevOps Engineer
Senior DevOps Engineer building and scaling cloud-native infrastructure, Kubernetes clusters, and AI serving platforms using IaC, GitOps, and observability tools.
Machine Learning Platform Engineer
Build and operate the ML infrastructure powering a global AI assistant, including training, deployment, inference, and observability systems in Python and PyTorch/JAX.