Build and prototype diffusion-based text-to-image generative models (Pinterest Canvas) using large-scale visual-text datasets. Requires 5+ years industry computer vision experience and an M.S. or Ph.D.

Lead ML architecture and implementation for Airbnb's Messaging & Notifications, building recommendation engines, ranking systems, and LLM-powered experiences while mentoring engineers.

Staff-level AI/ML engineer building and productionizing generative AI features across backend and frontend for Cribl's observability platform. Requires 6+ years experience, AI/ML and MLOps background, and TypeScript/JavaScript proficiency.

Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.

As a Senior Machine Learning Engineer, Model Risk Management, you will independently challenge model owners across lending, fraud, and AML, ensuring models are sound for customers and regulators. You will hunt for silent errors, build agentic validation tooling, and define standards for production AI systems.

As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.

Build and operate high-performance Rust infrastructure powering production AI agents, including inference, orchestration, execution, reliability, and observability systems. The role requires 5+ years of high-scale production engineering experience and expertise in distributed systems, performance optimization, and ML infrastructure.

As a Machine Learning Researcher specializing in audio, you will lead the evaluation and optimization of large-scale speech datasets for AI models. This involves researching audio data quality, developing new metrics and evaluation frameworks, and translating insights into practical tools to improve model performance.

As an AI Engineer, you will build and deploy AI-powered solutions to drive business outcomes across Sales, Marketing, and Customer Support. This role requires strong engineering skills, systems thinking, and a product mindset to own initiatives from discovery to deployment.

As an Open-Source Machine Learning Engineer, you will enhance the open-source machine learning ecosystem, focusing on libraries like Transformers and PyTorch. You will collaborate with the ML community, contributing to and supporting the tools you build.

Build and improve open-source machine learning libraries while collaborating with researchers, practitioners, users, and contributors. The role requires strong Python, deep-learning framework experience, practical familiarity with the Hugging Face ecosystem, and a public record of open-source contributions.

Lead research on pCTR and conversion models for Instacart Ads. Tackle bias mitigation, calibration, multi-task learning, and generative retrieval systems. Requires 6+ years ML experience and advanced degree.

Build and ship AI-powered capabilities that improve workflow creation, including code generation, intelligent node creation, and workflow optimization. The role requires 5+ years building web products, strong TypeScript and Node.js skills, and production experience with LLM APIs and AI systems.

As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.

Principal MLE focused on fine-tuning and optimizing large language models for production, building scalable AI pipelines, and shaping Airbnb's ML platform strategy. Requires 10+ years experience and a PhD.

Lead design and production delivery of LLM-powered AI features including real-time coaching, call insights, and prospect enrichment. Requires 7+ years building and shipping ML systems with deep LLM experience.

Technical lead for ML team building personalization, ranking, and search systems at scale. Own architecture, model training, deployment, and serve as hands-on mentor driving production ML systems.

Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.

Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.

Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.

Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.

Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.

Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.

This internship focuses on designing, training, and deploying large-scale machine learning models, exploring learning strategies, and partnering with product teams. Candidates should be enrolled students with Python and ML framework proficiency, distributed training experience, and familiarity with Transformer-based models.

Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.

Build and improve core agentic capabilities (memory, context, multi-step tool use) and evaluation frameworks (LLM-as-judge) for Spotify's Talk to Spotify conversational AI. Requires 5+ years production ML experience, rigorous evaluation skills, and comfort with rapid iteration on real user data.

Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.

Leads a team of senior data scientists developing and deploying LLM-based ML products, defining technical roadmaps, overseeing model training/inference pipelines, and translating outputs into actionable insights for civic applications. Requires 6+ years ML experience and 1+ years leading teams.

Leads development of user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI orchestration expertise.

Builds scalable AI platform services for deploying and managing LLMs, integrates with providers like OpenAI and Anthropic, and applies AI to enhance product features. Requires deep backend expertise, distributed systems, and MLOps experience.

Build and maintain a platform for creating and deploying multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI backend engineering, evaluation frameworks, privacy, and search integration.

Senior AI Engineer builds and deploys user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI expertise.

Builds scalable AI platform backend for deploying and managing LLMs, integrates with providers like OpenAI/Anthropic/Google, and applies AI to enhance product features. Requires deep backend expertise, MLOps, cloud-native tech, and production AI experience.

Builds backend platform for multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI/ML, agent workflows, evaluation, privacy, and search integration.

Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.

Designs evaluation pipelines, metrics, and user studies for speech generation and recognition models (ASR/TTS). Trains evaluation models, builds dashboards, and collaborates with ML, data, and product teams to improve performance on large-scale systems.

Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.

Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.

Develop machine learning systems that generate scientifically accurate, editable visuals from biological research and support natural-language figure editing. The role requires deep ML expertise and a passion for solving novel problems, with scientific or research experience as a plus.

Research-minded Data Scientist building experimentation platforms, ML analytical systems, and causal inference models for data-driven decisions at Figma. Requires PhD in quantitative field, SQL/Python fluency, and strong stats/ML foundation.

Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.

Owns evaluation infrastructure for AI agents in audit workflows, building unified platforms, automated pipelines, observability, and feedback loops to ensure enterprise-scale reliability. Requires experience with LLMs, TypeScript/Python, and production AI systems.

Designs and builds large-scale ML systems for Reddit's search relevance, including query understanding, retrieval, ranking, and LLM integration. Requires 10+ years in search/recommendation systems, ML model deployment, and cross-team collaboration.

Leads AI-driven innovation to analyze guest behavior, detect preferences, and build personalized discovery products in Airbnb's marketplace. Requires causal inference expertise, 9+ years experience, advanced degree, and strong Python/SQL skills.

Leads development and productionization of scalable ML systems, real-time inference services, feature stores, and MLOps pipelines to enhance betting metrics and platform integrity. Requires 7+ years ML/Backend experience, streaming architectures, and GCP expertise.

Develops and productionizes AI/ML models and pipelines at scale for Airbnb's agentic growth platform, powering personalized content generation, decisioning, and proactive marketing agents. Requires 12+ years experience, strong programming, and expertise in ML best practices and tools like PyTorch and Kubernetes.

Leads machine learning team developing conversion models for Reddit Ads, focusing on predictive modeling for user actions like purchases and signups. Requires deep ML expertise, ads domain knowledge, and 2+ years managing high-performing ML teams.

Build simulation environments, tasks, and verifiers to train and evaluate long-horizon autonomous AI agents using reinforcement learning. Requires strong engineering fundamentals, high agency, and focus on robust systems.

Fellows develop and optimize ML systems and performance infrastructure for AI models, focusing on scaling, efficiency, and reliability in a remote-friendly program.

Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.