Build and productionize AI-powered product features for scientific communication, spanning full-stack development, LLM applications, and machine learning infrastructure. The role requires 7+ years of full-stack experience, strong JavaScript and Python skills, and hands-on experience deploying AI systems in production.

Designs and builds ML systems for real-time fraud detection, including data pipelines, model deployment, and backend services in Go/Python. Requires 5+ years software engineering with applied ML experience on large datasets.

Build and scale high-performance software and distributed reinforcement-learning systems for LLM post-training. The role combines production engineering, research tooling, algorithm optimization, and collaboration across infrastructure and scientific teams.

Develops and optimizes diffusion models and generative AI for fashion design software. Conducts research, implements techniques for design quality and controllability, and deploys to production. Requires Master's/PhD, 3+ years experience, PyTorch proficiency.

Builds and debugs AI agent infrastructure for healthcare automation, including prompt engineering, runtime issue tracing, evaluation datasets, simulation tooling, data pipelines, and observability dashboards. Requires 2-7 years experience with production LLMs/AI agents and TypeScript proficiency.

Builds AI-powered product features and backend services for intelligent workflows in Linear's product development platform. Collaborates with product/design to integrate foundation models, optimize prompts, and architect reliable AI infrastructure using React, GraphQL, Node, and Temporal.

Build and improve production generative AI and multi-agent features across the full stack, using LLMs to solve product problems. The role requires strong programming experience, hands-on LLM prompting or GenAI implementation, and a product-oriented approach.

Designs, develops, and maintains ML systems for content recommendations, search, spam detection, and labeling using Bluesky's social graph. Requires 3+ years in ML/data science focused on recommendations/search, Python/PyTorch proficiency, and rapid experimentation skills.

Build and optimize scalable infrastructure for training large frontier AI models, bridging research and production. The role requires strong software engineering, Python and ML framework expertise, and hands-on experience with distributed training at scale.

Designs and implements core Python framework components for building real-time AI agents that see, hear, and speak. Owns features end-to-end with strong API design skills and experience in production Python systems.

Owns end-to-end ML lifecycle from prototyping clinical prediction models to productionizing and deploying them using production-grade Python/SQL. Requires PhD +3yrs or Master's +5yrs experience with MLOps tools like SageMaker/MLFlow.

Build and scale production AI systems while researching and experimenting with novel modeling ideas. The role requires strong software engineering, Python and ML framework proficiency, GPU kernel development, distributed training experience, and familiarity with Transformer-based sequence models.

Develops alignment algorithms, data pipelines, and sampling methods to optimize post-training AI models for performance and efficiency. Requires PhD or equivalent, ML expertise including reinforcement learning and transformers, and production code experience.

Develops and deploys perception algorithms for autonomous driving, focusing on object detection, sensor fusion, localization, and tracking using LiDAR, cameras, and radar. Requires Master's degree and 4+ years non-academic experience in computer vision.