Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and optimize large-scale AI training and inference clusters for enterprise clients, benchmarking performance and creating reference architectures for NVIDIA GPU-based systems.
Build and maintain the distributed training and inference infrastructure that powers a startup’s AI research, using PyTorch, vLLM/SGLang, and GPU schedulers to scale physics-discovery models.
Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe’s high-performance GPU infrastructure Based in our New York City…
Owns Klaviyo’s ML models (predictive and generative) and the platform that powers them, defining model quality, evaluation frameworks, and infrastructure roadmaps to drive faster, safer model deployment at scale.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…
Embed with AI labs to onboard, tune, and debug large-scale training/inference workloads on GPU clusters, owning reliability and automation for distributed systems.
About Meesho Meesho is India's fastest-growing internet commerce company, on a mission to democratize e-commerce for everyone. We serve millions of customers and over 1.75 million sellers through technology-driven…
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
Senior ML Engineer builds and optimizes computer-vision models for QSR drive-thru analytics and loss prevention, deploying lightweight AI on edge hardware.
NVIDIA is seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation NVIDIA…
Lead a team turning cutting-edge AI research into enterprise-scale platforms and intelligent systems, focusing on generative AI, agentic AI, and reasoning architectures to drive Vanguard’s strategic goals.
Lead a team of AI researchers and engineers to turn cutting-edge AI research into scalable enterprise solutions for Vanguard’s financial products and operations.
Build and operate scalable ML infrastructure for drug-discovery models, deploying real-time and batch inference on Kubernetes and cloud services to accelerate Roche’s AI-driven R&D workflows.
Senior Solutions Architect to deploy and validate AI factories running LLM workloads on multi-GPU Linux clusters, using NCCL and observability tools to optimize performance and troubleshoot issues.
Design and optimize ML pipelines, fine-tune LLMs, and deploy scalable AI systems using frameworks like PyTorch, LangChain, and Kubernetes on cloud platforms.
You have the opportunity to join our team at the position Senior Machine Learning / Artificial Intelligence Engineer. What will you do? Design, develop, and optimize machine learning models for real-world applications…
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed…
Designs and enforces security for a cutting-edge AI startup building a Large Physics Model, protecting petabyte-scale data, GPU clusters, and customer deployments.
Build and scale the AI training and inference systems that power Fin’s customer-service agent, working with LLMs and GPU-level optimizations in a hybrid Berlin office.
Principal AI/ML Engineer at Fortive to define and lead enterprise-scale AI strategy, architecture, and platforms, including LLMs, Agentic AI, and MLOps/LLMOps.
We couldn't check your fit for this role — add a CV to your profile to see it next time.