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 run the distributed GPU infrastructure that trains and serves PhysicsX’s large AI models for engineering simulation, partnering with research scientists to optimize training pipelines and model deployment.
Overview Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI‑native…
Senior Software Engineer designs and builds AI-powered features for a SaaS platform used by professionals, leveraging Python, LLMs, and AWS to enhance products and drive business outcomes.
Principal ML Infrastructure Engineer at PhysicsX in London builds and operates AI-driven simulation infrastructure for training, fine-tuning, and serving large physics models, using NVIDIA DGX clusters and PyTorch.
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Research and develop post-training techniques (SFT, RLHF, reward modeling) to improve large language and multimodal models, publish findings, and collaborate with top AI labs.
Backend engineer specializing in AI-driven systems; builds backend services, APIs, and AI/LLM-powered solutions for content personalization, focusing on Python, PostgreSQL, and RAG architectures.
MK-Consulting розробляє державні реєстри, портали, інформаційні та workflow-системи, будує інтеграції між сервісами й автоматизує складні процеси роботи з даними — від discovery та проєктування до запуску й підтримки в…
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
Principal Software Engineer at Okta’s Auth0Lab designs and builds identity and security solutions for GenAI apps, including proof-of-concepts, SDKs, and industry protocols like MCP and A2A.
The developer will build and maintain cybersecurity software solutions using Java, Spring, and Angular while managing CI/CD pipelines. The role follows Agile methodologies and requires at least three years of experience.
The Staff Platform Engineer will build and maintain the internal AI infrastructure, tooling, and integrations to enable AI-assisted workflows across the company. This role involves designing platform-level AI architectures, managing model access, and mentoring engineers in a high-autonomy, defense-focused environment.
Senior to Principal Applied AI Engineers build and deploy AI models and systems for UK public-sector projects, using Python, TypeScript, and cloud platforms like AWS to prototype, evaluate, and iterate on solutions that address government challenges.
Ключевые задачи: Разбирать запросы заказчиков и предлагать, каким классом решений их закрывать; Разрабатывать и улучшать RAG-пайплайны: поиск, реранжирование, сборка контекста, цитирование; Поднимать и оптимизировать…
Principal ML Engineer builds and optimizes LLM-based models, fine-tuning pipelines, and production-grade ML services for a SaaS platform powering tech solution providers.
Owns AI product delivery for military planning and real-time alerting systems, driving deployments in classified environments and translating operational needs into platform requirements.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
The Machine Learning Engineer will build, train, and deploy ML models and LLMs into production to automate and assist with Stripe's user-facing tasks. The role involves end-to-end development, from data analysis and model experimentation to integrating scalable solutions into the company's financial infrastructure.
The Senior Data Scientist will design, develop, and deploy AI models using transformer architectures and foundation models to analyze telemetry data for ArcGIS users. The role involves fine-tuning models with LoRA/QLoRA, building evaluation frameworks, and collaborating with cross-functional teams to deliver production-ready AI solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
