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.
Build and scale Unity Vector’s online ML inference platform, optimizing model serving for low-latency, high-reliability production systems using PyTorch, Triton, Kubernetes, and Ray.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
Build and ship state-of-the-art voice conversion and speech models end-to-end, from data curation to production inference, using large-scale diffusion/flow-matching transformers and PyTorch.
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
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.
Build and fine-tune LLMs/SLMs on GPU clusters, from data prep to deployment, and explain the full training pipeline to stakeholders.
Build and scale multi-cluster GPU infrastructure for training tabular foundation models, optimizing cost and throughput while owning Slurm clusters, scheduling, and distributed training performance.
Design AI/ML accelerator ASICs and storage solutions, defining I/O subsystems (PCIe/UCIe/CXL) and memory hierarchies for high-performance AI workloads.
Build and improve ML systems powering Macroscope’s AI features, focusing on evaluation datasets, model training, and reinforcement learning to enhance codebase insights and developer productivity.
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Build and deploy AI/ML models for healthcare claims processing using PyTorch/TensorFlow, MLOps pipelines, and cloud tools to reduce payment inaccuracies and waste.
Build and deploy scalable ML pipelines, real-time/batch inference systems, and LLM serving stacks for a fintech personalization engine in AWS.
Build and maintain scalable automation infrastructure for benchmarking AI and accelerated-computing workloads, turning complex experiments into reliable, reproducible workflows.
Senior AI Platform Engineer builds and scales the infrastructure for IQVIA’s LLM programs, leading compute, data, and model lifecycle management to turn research into secure, production-ready AI solutions in healthcare.
Senior Solution Engineer designs and deploys high-performance GPU cloud solutions for AI workloads, partners with enterprise teams, and runs benchmarks to prove Lambda’s performance and cost advantages.
Build and optimize AI-native weather modeling engines using CUDA, JAX/PyTorch, and distributed cloud pipelines to turn raw sensor data into real-time forecast APIs.
Build and optimize the high-performance systems that accelerate large-scale ML model training, using PyTorch, CUDA/Triton, and distributed training pipelines.
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