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 AI workloads on Google’s GKE, GPUs, and TPUs, then create demos and content to teach developers how to scale them efficiently.
Build ML models for user growth at Binance: segment users, optimize incentives, run A/B tests, and predict LTV/churn using Python, SQL, and causal inference.
Builds and maintains large-scale data platforms (storage, streaming, indexing) that power AI models via human feedback and evaluation systems.
Builds and maintains identity infrastructure (authentication, authorization, IAM) for AI platforms, ensuring secure access control for enterprise and government clients using OAuth, SAML, ReBAC, and cloud-native tools like Terraform.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems, collaborating with cross-functional teams to deliver high-impact infrastructure for the forefront of AI.
The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer…
Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to…
Build and deploy data infrastructure for cutting-edge generative AI models, collaborating with top AI labs and government agencies to deliver high-quality training data and evaluations.
Build and ship full-stack features for Scale AI’s Generative AI Data Engine, using TypeScript, Python, React, MongoDB, and Temporal to power LLMs and RLHF pipelines at scale.
Evaluate AI-generated cybersecurity threat responses using human feedback to train and refine models that detect and mitigate evolving cyber threats.
Architect AI solutions for U.S. government partners, evaluating and recommending AI/ML technologies, drafting contracts, and overseeing secure deployments of LLMs and agentic systems.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Domain expert who reviews, refines, and evaluates AI-generated content and data outputs to train next-gen models, leveraging deep subject-matter knowledge and strong analytical writing skills.
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.
Improve and post-train Liquid AI’s multimodal foundation models for Japanese and global use, designing data curation, experiments, and evaluation pipelines to boost model quality and reliability.
Build and ship LLM-powered features and agentic workflows for financial risk management, integrating AI into a cloud platform used by banks and asset managers.
Lead the AI-native personalization platform for a streaming service, designing systems that power Search, Recommendations, and Notifications for millions of users.
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Lead a team to build and deploy large language model applications, fine-tune models, and create agentic AI systems for mission-critical government use cases.
Design and deploy cutting-edge AI/ML models, including LLMs and SLMs, to power next-gen customer-facing and operational solutions at Cisco’s CX AI Incubation team.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
