Find your next AI-scored role.

GTM Automation Engineer at dbt Labs building AI-powered workflows to automate sales and marketing operations. Focus on designing and deploying AI agents for outbound personalization, account research, and process automation using tools like Claude, Clay, and n8n.

Machine Learning Manager at Reddit leading Feed Relevance and Feed Ranking teams. Oversee design and optimization of large-scale production ML systems including transformer-based architectures and LLMs to improve content personalization for 120M+ daily users.

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.

Staff Technical Product Manager at Scale AI, leading product strategy and execution for the Global Defense business. Role combines hands-on product development with deep technical expertise in AI systems for defense and national security workflows.

Staff Software Engineer at Crusoe building the Managed AI orchestration platform. Focus on distributed systems architecture, infrastructure scaling, and mentoring senior engineers across cloud and AI workloads.

Senior Staff Software Engineer at Coinbase building the Data Platform infrastructure. Focus on distributed systems, data engineering, and AI-readiness to power fraud detection, financial reporting, and ML systems at scale.

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 backend engineer at Coinbase building AI automation infrastructure for customer support and compliance. Focus on LLMs, agentic AI, and scalable systems using Python and Go.

Product Manager for Scale AI's Public Sector Data Engine, leading ML Ops infrastructure for government AI systems. Architect tools for computer vision and generative AI model development, evaluation, and deployment across national security applications.

Staff Software Engineer at Mercury building fraud prevention and risk systems for fintech. Focus on backend architecture, ML model serving, real-time decisioning, and leading cross-functional projects in a fast-growing business banking platform.

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.

Senior Software Engineer at Mercury building internal AI platform infrastructure. Focus on LLM gateway systems, MCP servers, knowledge layers, and enabling teams to prototype and deploy AI workflows safely at scale.

Senior ML engineer at Mercury (fintech) building ML and Gen AI microservices for risk onboarding and fraud prevention. Focus on designing, deploying, and operating production ML systems with full-stack ownership.

Senior Engineering Manager at Mercury leading risk and compliance teams. Oversees KYC/KYB, AML, and fraud detection systems; applies ML/AI to automate account approvals and due diligence workflows at scale.

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.

Senior Engineering Manager at Databricks leading the AI Runtime team. Responsible for product experience and foundational infrastructure for GPU training, distributed training orchestration, and managed model training at scale.

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.

Learning Product Manager Lead at Databricks building AI-first skills and learning systems for the platform. Owns product vision, strategy, and roadmap for contextual, in-workflow enablement and adaptive learning experiences.

Sr. Manager of Engineering at Databricks leading teams building the AI Gateway, an enterprise control plane for governing and monitoring LLM inference endpoints. Responsible for launching and scaling products that enable customers to use ML/AI techniques on the Databricks platform.

Senior Engineering Manager at Databricks leading the Customer Experience Intelligence team. Responsible for building AI-driven customer self-service, support automation, and product-health intelligence systems that improve deflection and resolution speed.

Staff Software Engineer at Databricks building AI-powered customer support automation and agentic workflows. Focus on designing systems that reduce support resolution time, improve quality, and enable scaling without proportional headcount growth.

Staff Product Manager at Databricks building AI platform infrastructure for ML lifecycle. Owns roadmap for model training, serving, vector search, and LLM capabilities; partners with engineering and enterprise customers to operationalize AI at scale.