Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
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.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
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.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
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.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.
Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
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.
Staff engineer builds AI-driven platform infrastructure for SDLC transformation, owns end-to-end experiments using AI agents like Claude, and ensures high-velocity code delivery with strong abstractions and real-world grounding. Requires staff-level architecture experience and AI-native workflows.
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 automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
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.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
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.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
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.
Builds forecasting interfaces, data pipelines, and scheduling systems for thousands of support agents using ML models. Requires Python ML libraries experience and background in ML/algorithmic teams with focus on performance optimization.
Designs and ships production ML systems for conversational AI personalization at Spotify, focusing on user intent interpretation, agentic workflows, context management, and scalable evaluation frameworks. Requires 5+ years experience with LLMs and production ML.
Builds, deploys, and maintains scalable ML infrastructure including pipelines, feature stores, and model serving for real-time fintech risk decisions. Requires 4+ years production ML experience with Python, Scala, Spark, Flink, and AWS.
Senior Staff ML Engineer fine-tunes and optimizes state-of-the-art LLMs for Airbnb's customer support AI products, including AI assistants and autonomous agents. Partners cross-functionally to productionize models at scale. Requires PhD and 10+ years experience with PyTorch.
Leads development of security-focused ML models for GenAI traffic at Reddit, owning the full ML lifecycle from data ETL to production deployment and monitoring. Requires 5+ years experience with PyTorch/TensorFlow, deep learning architectures, and MLOps for adversarial security risks.
Leads technical strategy, architecture, and development of advanced ML models for ads identity modeling and measurement, ensuring scalability, privacy compliance, and integration across systems. Requires 7+ years software engineering with 3+ in ML at scale, expertise in ML frameworks and large-scale data processing.
Builds and operates ML-powered features end-to-end, from problem discovery through deployment and monitoring. Requires 4+ years experience with full ML lifecycle, Python/SQL proficiency, frameworks like TensorFlow/PyTorch, and production ML model shipping.
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.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.
Leads design and deployment of ML, statistical, and graph algorithms for entity resolution, identity graphs, and KYC on large-scale PII datasets. Builds scalable pipelines in Spark/PySpark on AWS/Databricks, runs experiments, and mentors juniors. Requires Master's +3 years or PhD experience.
Build simulation environments and AI agents to model CTV advertising auctions, bidding strategies, and counterfactual scenarios. Requires systems programming in Zig/C++/Rust, adtech knowledge, and AI tool expertise to de-risk ML deployments and mentor engineers.
Leads design and implementation of advanced user modeling systems using ML and LLMs to create unified user representations for personalization across Reddit's Feeds, Search, Notifications, and Ads. Requires 10+ years in production ML, especially user understanding and recommender systems.
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.
Staff engineer builds AI-driven platform infrastructure for SDLC transformation, owns end-to-end experiments using AI agents like Claude, and ensures high-velocity code delivery with strong abstractions and real-world grounding. Requires staff-level architecture experience and AI-native workflows.
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 automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.
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.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.