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.
Research and build AI-driven robotic systems for industrial automation using vision-language-action models, reinforcement learning, and sim-to-real transfer.
Build and deploy AI-powered search ads systems using LLMs and deep learning, optimizing performance for Google Ads at scale.
Build and deploy AI agents and agentic systems using LLMs and reinforcement learning to automate talent-management workflows for enterprises.
Principal AI Engineer designs and deploys autonomous AI agents for crypto exchange operations, including trading bots, risk detection, and customer assistants, using multi-agent systems and reinforcement learning.
Principal AI Engineer designs and deploys autonomous AI agents for crypto exchange operations like trading, security, and customer interaction using LLM-integrated architectures.
Lead post-training and alignment of large language models using DPO, GRPO, and RLAIF; design reward models and optimize inference with vLLM/SGLang for a leading crypto exchange.
Build and deploy enterprise-grade AI agents using LangChain/CrewAI for client solutions, integrating LLMs, APIs, and cloud platforms while supporting pre-sales demos and solutioning.
Develops AI/ML-driven systems to detect and mitigate security threats (malware, abuse, privacy violations) across Android’s 3B+ devices, designing scalable infrastructure for threat detection, model deployment, and counter-abuse automation.
Lead foundational UX research for generative AI at DeepMind, shaping model tuning and multi-year product strategy through advanced evaluation frameworks.
Builds and scales backend infrastructure for Google’s AI agent platform (CXAS Console), focusing on APIs, data pipelines, and security to enable enterprise-grade AI agents for global customers.
Research and build systems that make AI agents portable across models, providers, and environments, focusing on routing, memory, interoperability, and evaluation.
Research and develop AI models for physical robots, training vision-language-action systems and reinforcement-learning policies to perceive, reason, and act in the real world.
Builds and scales AI agent systems (LLMs, RAG, multi-agent workflows) for Jeeva’s autonomous digital worker platform, integrating cloud, databases, and external APIs to automate business workflows.
Build and evaluate AI agent architectures that work across models, providers, and environments, focusing on portability, interoperability, and reliability.
Research and build large-scale machine learning models for physical AI systems, focusing on robotics, reinforcement learning, and multimodal models to enable intelligent agents to interact with the real world.
Rufus & Alexa Shopping Operations team strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX)…
Do you want to make a real difference to real people's lives? Want to design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new…
Lead a team of ML engineers to design, deploy, and scale machine-learning models for RBC Wealth Management, using Python, Java, AWS/Azure, and MLOps practices.
Lead the architecture and delivery of ML and Generative AI platforms for home lending, turning prototypes into production systems that scale securely and improve customer outcomes.
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