Find your next AI-scored role.

Data Science Manager at Stripe leading teams in embedded finance and growth analytics. Responsible for team strategy, ML product development, and cross-functional collaboration across payments and platform solutions.

Backend engineer at Stripe's Forward Deployed Engineering team building agent-augmented solutions for enterprise users. Work alongside AI agents to solve complex integration and billing problems, engage directly with strategic customers, and shape reusable platform capabilities across Payments, Invoicing, and Revenue Suite products.

Engineering Manager at Cloudflare leading the Vectorize team, which builds a managed global vector database for AI applications. Responsible for scaling infrastructure supporting billions of vectors while leading technical teams through hiring, mentorship, and execution of high-growth developer products.

Senior Product Manager for Cloudflare One Appliance, a managed hardware and virtual appliance for enterprise network connectivity. Owns product vision, roadmap, and vendor relationships while pioneering AI-driven automation for network configuration and traffic steering.

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.

Senior Staff Software Engineer at Airbnb building scalable payment systems and orchestration platforms. Focus on architecture strategy, AI-driven decision support systems, and technical leadership across the Payments organization.

Software Engineer II at Pinterest building compliance solutions for IP, content, and privacy regulations. Focus on scalable systems, cross-functional collaboration, and AI-assisted engineering practices.

Senior Analytics Engineer at Recursion building data infrastructure and dashboards for drug discovery. Focus on Spotfire automation, BigQuery pipelines, and analytics tools supporting the Design-Make-Test-Learn cycle.

Staff Product Manager at Recursion defining agentic systems for autonomous drug discovery. Role bridges AI/ML infrastructure with wet-lab automation, focusing on agent orchestration, reasoning architectures, and closed-loop experimentation in biotech.

Research Scientist in Molecular Dynamics at Recursion, a TechBio company using AI and automation for drug discovery. Develop and implement computational physics methods including molecular dynamics simulations and binding free energy calculations to support active drug discovery projects.

Research Scientist in Molecular Dynamics at Recursion, a TechBio company using AI and automation for drug discovery. Develop and implement computational physics methods including molecular dynamics simulations and binding free energy calculations to support active drug discovery projects.

Head of Early Discovery at Recursion, a clinical-stage TechBio company. Lead drug discovery strategy using AI and computational approaches, oversee target identification and validation in oncology/immunology, and manage a multidisciplinary scientific team.

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.

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.

Senior fullstack engineer at Coinbase building AI-native consumer products. Focus on designing services that convert natural-language goals into compliant Coinbase workflows, with emphasis on risk/compliance guardrails and cross-functional collaboration.

Engineering Manager II leading Pinterest's Cache Infra team, which operates 100+ production clusters serving 450M QPS. Responsible for building reliable, performant caching systems at massive scale and modernizing the cache tech stack.

Product Designer at Anthropic focused on Claude Code, an AI-native coding tool. Designs user interfaces and workflows for agentic systems, collaborating with engineers and researchers to shape how people experience AI.

Staff Software Engineer building observability platforms at Cerebras Systems, a company making AI inference chips. Focus on designing telemetry pipelines, monitoring infrastructure, and developer tooling for high-scale distributed systems.

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 Python/PyTorch developer at Cerebras Systems building the frontend inference compiler for the world's largest AI chip. Focus on model representation, optimization, and compilation stack for generative AI inference.

Staff full-stack technical lead at Cerebras Systems building the Developer Console for AI inference workloads. Owns critical platform systems including billing, usage tracking, and observability across frontend (Next.js, TypeScript) and backend (GraphQL, Postgres, Redis).

Senior ML Software Engineer at Cerebras Systems integrating and validating the software stack for the Cerebras AI platform. Focus on distributed systems debugging, automation, and reliability across ML infrastructure and hardware/software co-design.

Principal Engineer at Cerebras Systems building reliability infrastructure for the world's fastest AI inference service. Owns SLO definition, incident response, and fault-tolerance mechanisms across distributed wafer-scale systems and multi-region cloud deployments.

Kernel Engineer at Cerebras Systems developing high-performance ML and HPC kernels for the company's wafer-scale AI processor. Focus on optimizing deep learning operations, implementing parallel algorithms, and leveraging custom hardware architecture.

ML Software Tool Development Engineer at Cerebras Systems building debugging, validation, and observability platforms for the world's largest AI chip. Focus on system-level profiling, compiler instrumentation, and high-performance hardware-software co-design.