Find your next AI-scored role.

Head of Client Experience at Gusto's Symmetry division, leading support, enablement, and success teams. Role focuses on designing AI-native client experience, managing ~10 people, and partnering with product/engineering on agentic workflows.

Senior Manager of Data Science at Abridge, an AI-powered healthcare platform. Lead a data science team building analytics infrastructure, driving product strategy through data-driven insights, and collaborating with research teams on model evaluation and clinical quality metrics.

Director of Data Science at Abridge, an AI-powered healthcare platform. Lead a data science team building analytics infrastructure, driving product strategy through data-driven insights, and collaborating on model evaluation frameworks for clinical AI systems.

Security Software Engineer at Anthropic building AI-powered detection and response platform. Architect data pipelines for security telemetry, develop ML-powered detection systems, and leverage Claude for security operations.

Machine Learning Engineer at Twilio building scalable ML systems for real-time applications. Role spans research-to-production cycles including anomaly detection, recommendation systems, and agentic AI frameworks within the Data & Observability Substrate organization.

Senior Product Manager at Gusto leading contractor management products for small businesses. Owns 0→1 product strategy, cross-functional execution, and AI-driven solutions for SMB contractor workflows.

Senior Application Security Engineer at Brex focusing on vulnerability identification, penetration testing, and secure development practices across the financial platform. Role includes securing AI-driven features and building internal security tooling.

Staff Software Engineer at Pinterest building AI-first merchant and ads review systems. Leads technical delivery on ML/GenAI initiatives for platform safety and revenue, mentors engineers, and partners across trust & safety, policy, and product teams.

Product Lead at Stripe's Payments Intelligence team, responsible for scoping and building features that help users maximize revenue while minimizing costs. Leads cross-functional teams of engineers and data scientists on ML-powered payment infrastructure products.

Senior Software Engineer at Databricks building AI agent interfaces and generative AI products. Full-stack role combining frontend (React/modern JS) and backend development to create intuitive, scalable agentic applications in a 0-to-1 environment.

Staff Data Scientist at Pinterest building ML and causal inference models for the engagement ecosystem. Focus on quantifying tradeoffs between organic engagement and monetization, designing scalable ML frameworks, and mentoring junior scientists.

Staff Partner Engineer at Databricks managing the technical relationship between Databricks and Microsoft Azure. Owns product roadmap alignment, drives engineering integrations, and ensures seamless Azure ecosystem compatibility.

Senior Computational Biologist at Recursion building target discovery pipelines using patient data and agentic AI tools. Bridges data science and drug discovery by integrating transcriptomics, genetics, and EHR data to identify novel therapeutic targets at scale.

Executive Director of Asset Project Leadership at Recursion, a clinical-stage biotech company. Oversees drug development programs leveraging computational approaches and proprietary platforms to advance medicines from discovery through clinical development.

Associate Principal Computational Biologist at Recursion supporting drug discovery in neuroscience. Analyze high-dimensional omics and clinical datasets to validate therapeutic targets, design experiments, and accelerate programs from preclinical to clinical development.

Sr. Staff Product Manager at Pinterest leading AI/ML-powered merchant discovery and shopping experiences. Partnering with engineering, design, and data science to build personalized product features at scale using LLMs.

Applied AI Engineer at Mistral AI deploying LLM products with customers from pre-sale through production. Responsibilities include customer onboarding, fine-tuning guidance, RAG/agentic use cases, and collaborating with research and product teams on complex AI implementations.

Senior Staff Software Engineer at Crusoe leading cloud infrastructure and Kubernetes orchestration. Focus on designing scalable, resilient systems for AI compute, mentoring teams, and setting technical direction across distributed systems and infrastructure-as-code.

Senior Technical Program Manager at Cerebras Systems overseeing site and data center operations for AI infrastructure deployments. Owns end-to-end programs for hardware systems, cloud infrastructure, and operational readiness across cross-functional teams.

System Software Engineer at Cerebras building embedded and platform software for the Wafer Scale Engine AI processor. Focus on microcontroller firmware, Linux BSP, system monitoring, and cluster orchestration integration.

Staff Software Engineer at Cerebras Systems building the cloud platform for AI inference. Focus on distributed systems, multi-region architecture, reliability, and latency optimization for high-QPS inference workloads.

Staff Site Reliability Engineer at Cerebras Systems building self-service platforms and automation for AI inference infrastructure. Focus on GitOps-driven CD, observability, and reliability practices for wafer-scale compute clusters serving frontier AI labs.

Staff Inference ML Runtime Engineer at Cerebras Systems building high-throughput, low-latency inference serving infrastructure for generative AI models on custom wafer-scale hardware. Focus on ML features, multimodal support, performance optimization, and scalable distributed runtime APIs.

Software engineer at Cerebras Systems building kernel reliability and debugging tools for AI compute clusters. Focus on failure analysis, root-cause investigation, and improving reliability of training and inference systems at scale.

Site Reliability Engineer at Cerebras Systems supporting high-performance AI inference infrastructure powered by wafer-scale chips. Focus on Kubernetes operations, automation, observability, and continuous delivery pipelines for production systems serving frontier AI models.