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Build and productionize LLM-powered features: design prompts, integrate foundation models, automate evaluation/benchmarking, and monitor quality, safety, and cost for GenAI solutions.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
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…
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.
Why this role exists K0rdent AI is the orchestration layer that turns raw, disaggregated GPU infrastructure into a multi-tenant, production-ready AI cloud — without locking companies into a single hyperscaler or…
Lead a team building multimodal AI systems that unify biological data and scientific expertise to power autonomous discovery engines for drug development and biological research.
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.
The Assistant General Counsel (Product) advises Abridge’s AI/ML teams on legal risks, IP, data governance, and compliance for healthcare-focused AI models, shaping frameworks for novel AI applications in real-time clinical documentation and emerging agentic systems.
The Senior Cloud/DevOps Engineer will design and operate the private cloud infrastructure for AI and HPC workloads, managing OpenStack, Kubernetes, and distributed storage systems.
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.
Hybrid AI Cybersecurity Consultant focused on IT strategy consulting and building AI agents for process automation, including prompt engineering, LLM classifiers, and RAG patterns.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
The Senior Staff GenAI Engineer will lead the architectural strategy and development of foundation models for YouTube ad creative optimization. This role involves building scalable data pipelines, evaluation frameworks, and model alignment processes to deploy high-performing generative AI solutions at scale.
Senior AI Engineer leads development of LLM-based language and voice technologies for healthcare, focusing on RAG, classification, and fine-tuning to enhance patient-provider interactions via conversational AI systems.
Build multimodal embeddings and LLM-based representations for Reddit Ads, using NLP/CV models to power relevance, targeting, and ranking systems.
The Applied AI Engineer will build and maintain production-grade AI agents, machine learning models, and data-driven dashboards to support real-time decisioning and risk management. The role focuses on developing governed, auditable AI systems using Python, TypeScript, and SQL within a high-scale Web3 and iGaming environment.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Hands-on architect owning the end-to-end design of an AI agents platform that automates healthcare patient-access workflows (benefits verification, prior auth) via LLM/voice agents, built with Python or Go on GKE, with strong emphasis on reliability, HIPAA compliance, and distributed systems.
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