Build and scale AI systems including conversation engines, RAG pipelines, and LLM integrations connected to government data. Requires 2+ years Python experience, production AI systems, and cloud infrastructure.
Builds production AI agents and LLM pipelines for marketing workflows, integrating with data warehouses. Requires strong backend architecture skills, product thinking, and creativity with LLMs; senior role emphasizing impact over years of experience.
Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.
Leads development of Airbnb's conversational AI Automation Platform and agent provisioning systems. Drives backend optimization, prompt engineering, and LLM integrations with 9+ years experience in scalable architectures.
Build and scale ML compute infrastructure and distributed training pipelines for foundation models. Optimize GPU/CPU efficiency and data throughput for large-scale model training and inference.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Build and maintain core GenAI infrastructure including model gateways, vector databases, observability tools, and integration with agent workflows. Requires extensive AI platform experience, Kubernetes, OpenTelemetry/MLFlow, and preferred LLM serving frameworks.
Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.
Builds and deploys end-to-end AI/ML systems, including LLM workflows and rapid prototypes for internal tools and product features in healthcare. Requires 4+ years experience, strong full-stack skills, evaluation/monitoring expertise, and Python proficiency.
Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.
Builds and optimizes AI/ML analytics engine using scientific Python stack for public opinion measurement platform. Requires 5+ years experience in quantitative software, ML, and distributed systems.
Leads development of generative AI tools for fashion design, including image generation, editing, and workflows. Mentors ML engineers, conducts applied research on diffusion models, and drives production systems integrating cloud GPUs and multimodal LLMs. Requires 7+ years ML experience and Master's/PhD.
Build scalable AI platforms and infrastructure for Figma's design tools, including model training, agentic features, and APIs. Requires 5+ years software engineering experience with backend/infrastructure and 3+ years in AI or developer platforms.
Build and productionize ML models for search, RAG, and generative AI features at Figma. Requires 5+ years software engineering with 3+ years in applied ML, Python proficiency, and experience with scalable data pipelines.
Develops high-performance audio inference systems, optimizing latency, throughput, and quality for real-time streaming workloads. Requires expertise in C++, Python, and deep learning models for audio/speech, with collaboration across training and serving teams.
Develops and deploys techniques to enhance LLM inference efficiency, focusing on architecture optimization, decoding algorithms, and GPU acceleration. Requires PhD in ML, expertise in LLM optimization, strong software skills, and top-tier publications.
Engineers on this team optimize LLM inference for lower latency and higher throughput by identifying bottlenecks, developing optimizations across the execution stack, and collaborating with modeling teams. Requires 5+ years high-performance coding in C++/Python and LLM inference experience.
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.
Senior ML Engineer on Spotify's Supply Personalization squad, designing and implementing ML systems to optimize ad loads, user behavior analysis, and ad experiences using causal inference and large-scale experimentation. Requires strong applied ML, software engineering, data analysis expertise, and proficiency in Python/Java/Scala, TensorFlow/PyTorch, and data pipelines.
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.
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.
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.
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.
Build and scale AI systems including conversation engines, RAG pipelines, and LLM integrations connected to government data. Requires 2+ years Python experience, production AI systems, and cloud infrastructure.
Builds production AI agents and LLM pipelines for marketing workflows, integrating with data warehouses. Requires strong backend architecture skills, product thinking, and creativity with LLMs; senior role emphasizing impact over years of experience.
Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.
Leads development of Airbnb's conversational AI Automation Platform and agent provisioning systems. Drives backend optimization, prompt engineering, and LLM integrations with 9+ years experience in scalable architectures.
Build and scale ML compute infrastructure and distributed training pipelines for foundation models. Optimize GPU/CPU efficiency and data throughput for large-scale model training and inference.
ML infrastructure engineer productionizing generative AI models from research to scale, optimizing multi-GPU inference, and building reliable serving systems. Requires 4+ years ML inference experience, PyTorch, Kubernetes expertise.
Build and maintain core GenAI infrastructure including model gateways, vector databases, observability tools, and integration with agent workflows. Requires extensive AI platform experience, Kubernetes, OpenTelemetry/MLFlow, and preferred LLM serving frameworks.
Leads AI/ML organization by setting technical vision, building and mentoring data scientists/ML engineers, architecting scalable ML infrastructure, and hands-on prototyping models for healthcare applications. Requires PhD, 8+ years shipping ML products, and 3+ years leading ML teams.
Builds and deploys end-to-end AI/ML systems, including LLM workflows and rapid prototypes for internal tools and product features in healthcare. Requires 4+ years experience, strong full-stack skills, evaluation/monitoring expertise, and Python proficiency.
Designs, builds, and scales agentic AI systems using LLMs for compliance automation, including multi-step reasoning, RAG, and production deployment. Requires 7+ years software engineering with 2+ years ML/AI, Python proficiency, and cross-functional collaboration.
Builds and optimizes AI/ML analytics engine using scientific Python stack for public opinion measurement platform. Requires 5+ years experience in quantitative software, ML, and distributed systems.
Leads development of generative AI tools for fashion design, including image generation, editing, and workflows. Mentors ML engineers, conducts applied research on diffusion models, and drives production systems integrating cloud GPUs and multimodal LLMs. Requires 7+ years ML experience and Master's/PhD.
Build scalable AI platforms and infrastructure for Figma's design tools, including model training, agentic features, and APIs. Requires 5+ years software engineering experience with backend/infrastructure and 3+ years in AI or developer platforms.
Build and productionize ML models for search, RAG, and generative AI features at Figma. Requires 5+ years software engineering with 3+ years in applied ML, Python proficiency, and experience with scalable data pipelines.
Develops high-performance audio inference systems, optimizing latency, throughput, and quality for real-time streaming workloads. Requires expertise in C++, Python, and deep learning models for audio/speech, with collaboration across training and serving teams.
Develops and deploys techniques to enhance LLM inference efficiency, focusing on architecture optimization, decoding algorithms, and GPU acceleration. Requires PhD in ML, expertise in LLM optimization, strong software skills, and top-tier publications.
Engineers on this team optimize LLM inference for lower latency and higher throughput by identifying bottlenecks, developing optimizations across the execution stack, and collaborating with modeling teams. Requires 5+ years high-performance coding in C++/Python and LLM inference experience.
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.
Senior ML Engineer on Spotify's Supply Personalization squad, designing and implementing ML systems to optimize ad loads, user behavior analysis, and ad experiences using causal inference and large-scale experimentation. Requires strong applied ML, software engineering, data analysis expertise, and proficiency in Python/Java/Scala, TensorFlow/PyTorch, and data pipelines.
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.
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.
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.
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.