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Leads cross-functional AI-driven drug discovery projects, coordinating timelines, milestones, and resources between ML, engineering, and biology teams to advance novel therapeutics.
Research and exploit new attack vectors in AI agents, LLMs, and their ecosystems to uncover risks and shape security defenses for enterprise-scale AI platforms.
Lead the enterprise automation strategy for a regulated healthcare company, designing scalable test frameworks with Playwright/TypeScript and AI-driven tools to ensure software reliability and accelerate delivery in a mission-driven, hyper-growth environment.
Designs and secures cloud infrastructure on Azure and AWS, automating deployments with Terraform and AI to support a fast-growing, regulated pharmacy platform.
A full-stack software engineer embedded in the Superhuman Docs business unit's Developer Experience team, building internal tooling, improving CI/CD pipelines, local dev workflows, and build systems to make hundreds of weekly pull requests ship faster. Core stack includes Bazel, Kubernetes, cloud platforms, and multiple languages such as Go, Python, Java, or TypeScript.
As one of Remy's first engineers, you'll own the backend and platform infrastructure powering its AI product-design agent — building APIs, data models, and infrastructure for LLM-driven generation and agent workflows. Core stack: TypeScript, Node.js, GraphQL, AWS (AppSync, DynamoDB, ECS), Cloudflare, and Docker.
Build and maintain the machine-learning infrastructure that trains and deploys autonomy and perception models for autonomous battery-electric rail vehicles, using cloud platforms and MLOps tooling.
The Senior ML Engineer will develop and deploy surrogate models to accelerate physics simulations for autonomous air vehicle design. This role involves building training infrastructure, optimizing inference for engineering workflows, and collaborating with domain experts to integrate AI into hardware development.
The Agentic AI Engineer will build and deploy multi-agent pipelines to automate complex engineering workflows and integrate AI agents with classical engineering software. The role focuses on compressing design loops for autonomous air vehicles using Python, MATLAB, and various orchestration and data pipeline technologies.
Designs and extends AI agents/skills for development workflows (e.g., test generation, code review, CI feedback) to improve productivity and reduce friction in engineering processes.
A principal-level engineer designing and operating the large-scale distributed search, retrieval, and RAG platform that powers Microsoft 365 Copilot, working across search, AI, and platform engineering. Core work involves cloud-scale architecture, relevance/grounding systems, and agentic engineering practices in languages like C++, C#, Java, JavaScript, and Python.
Build and maintain Later’s cloud infrastructure, Kubernetes clusters, and MLOps pipelines to deploy AI models reliably using AWS, Terraform, and CI/CD tools.
A Data Engineer / Analytics Engineer builds and maintains the client's data platform, developing data models and transformation pipelines with DBT as the ETL/ELT tool and heavy SQL, including staging/marts layers, testing, documentation, and query optimization, on-site in Sant Cugat del Vallès.
Senior full stack engineer building VOICEB.ai's autonomous AI voice-agent platform: backend services, APIs, integrations (Salesforce, HubSpot, Twilio, SIP/WebRTC) and internal tooling. Remote within Spain, owning features end to end on a small team with the CTO, using a modern JS/TS stack (React/Node) on AWS/GCP.
Site Reliability Engineer at The Voleon Group (an AI/ML-driven investment manager) in London, working at the intersection of production operations and software development: improving and monitoring production-critical trading systems and data pipelines, debugging Python code, automating workflows, and sharing an on-call rotation. Core stack includes Python, Linux, and SQL, with exposure to tools l
Designs and deploys large-scale AI/ML workloads on GPU cloud infrastructure, advising key customers and optimizing performance while collaborating with sales and product teams.
Nscale, a GPU cloud provider for AI workloads, is hiring a Staff Security Engineer to lead product and platform security: hands-on threat modeling, architecture reviews, vulnerability management (CVSS triage and remediation), running bug bounty/responsible disclosure programs, and supporting incident response across its cloud platforms and hyperscale GPU clusters.
Senior/Staff Data Engineer owning and evolving the data platform (ETL/ELT pipelines, data warehouse, data quality) for Cerebras, an AI chip company. Day-to-day involves building production data pipelines in Python and SQL on cloud infrastructure (AWS/GCP/Azure) while partnering with analytics and engineering stakeholders.
Product Manager owning Suno's teams & business revenue line — defining offerings for professional creatives, teams, and enterprises, running pilots/betas, and building the collaboration, admin, security, and compliance (SOC 2, GDPR) foundations to take B2B products from first customers to repeatable revenue. On-site in NYC 5 days/week.
Designs, builds, and deploys production-grade AI systems and ML pipelines, focusing on scalable implementations and collaboration with cross-functional teams.
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