Find your next AI-scored role.

Senior Software Engineer at Airbnb building AI-powered employee productivity tools. Focus on LLM-powered features, RAG pipelines, AI agents, and enterprise AI systems for internal use across the company.

Manager of Forward Deployed Engineering at Anthropic leading a team building production AI agents for Fortune 500 enterprises. Combines technical leadership, delivery oversight, and commercial strategy across a vertical segment.

Senior Software Engineer at Coinbase building AI automation solutions across the organization. Role involves designing and deploying generative AI agents, copilots, and intelligent workflows to drive efficiency gains, with hands-on coding in Python and Golang.

Senior Software Engineer at Mercury building agentic AI systems for risk and compliance workflows. Focus on designing and shipping AI-driven decision automation for KYC, AML, and fraud detection in production fintech systems.

Staff Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's proprietary platform, from cybersecurity to genomics applications.

Privacy Research Engineer at Anthropic designing and implementing privacy-preserving techniques for large language models. Role involves auditing frontier models, developing privacy-first training algorithms, and setting privacy policy direction.

Specialist Solutions Architect at Databricks building production-grade ML and AI applications on the Data Intelligence Platform. Focus on GenAI, MLOps, agentic systems, and customer technical guidance for enterprise deployments.

Strategy & Execution Manager at Databricks responsible for operationalizing Services and Enablement strategy using AI. Will architect and ship AI agents, data pipelines, and internal tools while translating executive strategy into measurable KPIs and automated dashboards.

Specialist Solutions Architect at Databricks building AI tooling infrastructure and agent networks for Field Engineering. Focus on cloud platforms, vector databases, RAG systems, and internal developer tools to accelerate customer engagements.

Staff Machine Learning Engineer at Databricks building GenAI products like Databricks Assistant and AI/BI Genie. Focus on LLM quality, fine-tuning, data collection, and ML pipeline development for products used by hundreds of thousands daily.

AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.

AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.

AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.

AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.

AI Forward Deployed Engineer at Databricks building and productionizing GenAI applications for customers. Develop RAG, multi-agent systems, and fine-tuning solutions; serve as technical advisor and thought leader on LLMOps and ML.

Sr. Machine Learning Engineer at Databricks building GenAI products like Databricks Assistant and AI/BI Genie. Focus on LLM quality, fine-tuning, data collection, and ML pipeline development for production AI systems.

Senior GenAI Research Engineer at Databricks optimizing GPU kernels and distributed training for large language models. Focus on CUDA kernel design, performance tuning, and scaling techniques for production ML workloads.

PhD GenAI Research Scientist Intern at Databricks working on domain adaptation for LLMs and enterprise AI systems. Focus on fine-tuning, evaluation, retrieval augmentation, and efficient inference methods.

AI Research Engineer at Hex building search and context systems for an agentic data science platform. Focus on production AI infrastructure, indexing pipelines, and agentic search capabilities serving real users.

AI Engineering Lead at Hex Technologies, building agentic data science platform. Lead AI engineering team, define AI infrastructure strategy, and collaborate with product/engineering on frontier AI capabilities.

AI Research Engineer at Hex building production AI capabilities for a data science platform. Focus on fine-tuning models, deploying AI infrastructure, and shipping features like the Notebook Agent that generates SQL and Python code.

Staff Machine Learning Engineer at Reddit building large-scale ML systems for recommendations, search, and content understanding. Lead end-to-end initiatives from research to production deployment across Reddit's consumer ecosystem.

Research Engineer, Infrastructure at Cognition building distributed training systems and experiment orchestration for large-scale AI agent development. Own GPU cluster infrastructure, data pipelines, and performance optimization across thousands of GPUs.

Research scientist at Cognition designing post-training data strategies for AI agents. Focus on human preference modeling, synthetic data generation, and evaluation design to improve model behavior and alignment.

Manager II, Machine Learning Engineering at Pinterest leading the Homefeed Retrieval Modeling team. Oversee 8-9 ML engineers building recommendation systems, retrieval sources, and generative retrieval technologies serving 500M+ users.