Find your next AI-scored role.

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.

Director of Computational Biology at Recursion leading neuroscience drug discovery efforts. Manage a team of computational biologists and data scientists applying ML and data analysis to target prioritization, biomarker development, and therapeutic programs in partnership with Roche & Genentech.

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.

Staff Product Manager at Recursion defining agentic systems for autonomous drug discovery. Bridges AI models and automated labs to enable closed-loop experimentation and agent-driven scientific reasoning.

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.

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 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.

Senior Software Engineer at Anduril Industries building the core task execution framework for autonomous vehicles in the Lattice Autonomy stack. Focus on distributed systems, fault-tolerant command and control, and third-party integrations for defense applications.

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.

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 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 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 LLVM compiler engineer at Cerebras Systems designing and implementing low-level compiler components (backend, assembler, linker) for the company's wafer-scale AI chip architecture. Focus on code generation optimization, LLVM mid-end/backend passes, and single-core performance targeting.

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.

Staff Compiler Engineer at Cerebras Systems designing and implementing features in CSL, a Zig-like language for programming wafer-scale AI chips. Focus on frontend language design, MLIR/LLVM IR lowering, and compiler optimization for next-generation AI hardware.

Sr. Staff/Principal software security engineer at Cerebras Systems securing large-scale AI inference infrastructure. Design and implement security controls across APIs, control planes, distributed systems, and runtime environments for high-performance ML workloads.

Senior/Staff engineer at Cerebras Systems bringing up and optimizing the Wafer Scale Engine (WSE) AI chip. Work spans hardware-software codesign, silicon validation, performance optimization, and cross-functional collaboration with chip design and software teams.

Senior Runtime Engineer at Cerebras Systems designing and optimizing distributed runtime software for large-scale AI training and inference on custom wafer-scale hardware. Focus on high-performance data pipelines, multi-node orchestration, and performance optimization across heterogeneous clusters.

Senior ML Systems Engineer at Cerebras building state-of-the-art training platforms on wafer-scale AI chips. Responsible for bringing up large-scale models (LLaMA, Qwen) on Cerebras CSX systems, spanning model architecture, compiler optimization, runtime integration, and performance tuning.