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Full-stack engineer building product surfaces, backend services, and internal tools for HUD's RL training data and evals platform, using Python, React/TypeScript, and cloud infrastructure.
Develops C++ motion planning algorithms for autonomous vehicles, focusing on trajectory generation and real-time decision-making in dynamic environments.
The Director of Data Science will lead a team to develop predictive models and customer intelligence strategies for media brands, focusing on personalization, engagement, and product growth. The role involves leveraging Python, SQL, and machine learning to drive actionable insights across web and mobile platforms.
Lead Software Engineer building full-stack features across three flagship products using Angular, React, Node.js, and AWS serverless, collaborating with clinicians and ML researchers to drive patient outcomes in healthcare.
Designs and deploys C++/Python planning algorithms for ADAS/autonomous vehicles, analyzing fleet and simulation data to improve decision-making in Lucid’s in-house software stack.
Designs and maintains high-performance infrastructure for large-scale generative AI and machine learning workloads, including distributed systems, GPU compute, and MLOps pipelines in a financial firm.
Build AI-driven equity trading signals using ML research, proprietary data, and modern architectures like LLMs and sequence models in a collaborative quant research team.
Owns programs that accelerate RL research for AI models like Claude, coordinating experiments, reviews, and infrastructure to drive safe, scalable AI development.
Designs and maintains the infrastructure that powers AI research workflows, focusing on Python-based frameworks and distributed systems to enable reliable reinforcement learning and agentic environments.
Designs and maintains the infrastructure and APIs that power reinforcement learning for AI coding agents, focusing on reliability, scalability, and researcher productivity.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
The Research Engineer will develop reinforcement learning environments and evaluations to improve AI models' capabilities in silicon design, including RTL generation and physical design optimization. The role requires deep expertise in chip design flows and EDA tools to bridge the gap between hardware engineering and large-scale AI training.
Builds full-stack platforms and tools for reinforcement learning (RL) environments, data collection, and training observability to improve Claude’s AI models. Owns end-to-end systems—from backend APIs to web UIs—collaborating with researchers to solve high-stakes problems quickly.
Build and own evaluation systems and infrastructure to measure and improve Claude Code’s coding capabilities, bridging engineering and AI research.
Research Engineer in cybersecurity RL to design RL environments, run experiments, and deploy defensive AI models for secure coding and vulnerability remediation.
Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their…
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
Design and build on-device ML infrastructure, optimizing LLMs (Gemini Nano, Gemma) across GPUs, TPUs, NPUs, and CPUs on Android and Chrome, while coordinating across Android ML, ML Compiler, and DeepMind teams.
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