Staff AI Software Engineer builds and scales AI systems including PromptQL AI assistant, data engine, and runtime infrastructure for enterprise reliability. Requires 6+ years experience with AI/ML, distributed systems, LLMs, Python fluency, and technical leadership.
Builds and owns data pipelines, ETL processes, and infrastructure to power reporting and decision-making. Requires 4+ years experience with Python, PostgreSQL, Snowflake, and data modeling.
Junior Research Scientist develops and refines ML architectures and LLMs for conversational AI in housing/healthcare, applies advanced math/ML to predict behaviors and optimize interactions. Requires PhD in math/physics/CS or related, strong ML foundation, and onsite work.
Develops embedding models and retrieval systems to enable frontier AI models to access relevant information dynamically. Requires deep expertise in representation learning, vector retrieval, and transformer LLMs, with experience scaling ML systems.
Conducts research in mechanistic interpretability to understand deep network representations and enhance AI safety. Requires PhD or equivalent in ML/CS, 2+ years research engineering with Python, and passion for safe AGI.
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 high-performance inference infrastructure for OpenAI's multimodal models handling image, audio, and other non-text inputs at scale. Collaborate with research and product teams on low-latency production systems using GPU workloads and inference tooling.
Develops cutting-edge perception models using fused sensor data for autonomous vehicles, focusing on joint detection/tracking and embeddings for downstream systems. Requires MS/PhD in CS, PyTorch experience, and production deployment skills.
Advances AI capabilities through cutting-edge reinforcement learning research, training intelligent agents for models like o1 and o3. Requires RL research background, strong coding skills, and ability to iterate quickly in a fast-paced environment.
Designs and tests zero-knowledge proof systems for biometric likeness verification in privacy-focused identity solutions. Requires expertise in zk-SNARKs/STARKs, cryptography, and prototyping tools like Circom and Semaphore.
Develops and deploys cutting-edge AI models and LLM-based solutions for internal tools and customer products. Collaborates with product/engineering teams to prototype, iterate, and shape technical direction in a fast-paced startup environment. Requires 3+ years experience with Python, TypeScript, and AI frameworks.
Builds high-performance pipelines and building blocks for video understanding at scale using computer vision, audio processing, and ML optimization techniques. Requires 2+ years in CV/audio, strong Python/PyTorch skills, and passion for video tech.
Designs, builds, and maintains ML training and serving infrastructure, providing support to research teams. Requires 4+ years in ML infrastructure, cloud platforms like Kubernetes and Google Cloud, and GPU experience.
Leads GPU inference engineering for Sora, optimizing model serving efficiency, kernel-level performance, and scalability. Collaborates with research and product teams to build reliable infrastructure for multimodal AI models.
Develops advanced LLM-based knowledge graphs, RAG techniques, agents, and NLP features to enhance Onyx's AI knowledge retrieval platform. Requires 3+ years AI/ML experience with PyTorch/TensorFlow and strong software engineering skills.
Develops quantitative models and trading strategies for futures markets using financial data, machine learning, and statistical analysis. Requires 2+ years experience, STEM degree, and Python proficiency.
Builds and operates Habitat, OpenAI's core online database platform handling high-QPS, latency-sensitive workloads. Owns end-to-end distributed systems for storage, caching, routing, CDC, and privacy; requires 8+ years experience with Rust/Python expertise.
Builds ambitious RL environments and evaluation systems to measure and steer frontier AI models toward safe AGI. Requires strong ML research engineering, statistical skills, and red-teaming mindset for end-to-end project ownership in fast-paced setting.
Designs, develops, and deploys scalable ML systems and backend infrastructure for healthcare applications, translating LLM research into production while handling large-scale clinical data. Requires 3+ years ML backend experience, 5+ years software development, and backend languages like Python.
Develops novel AI agent applications using language models, manages model alpha program with OpenAI, architects risk AI workflows, and conducts experiments to evaluate model capabilities for B2B SaaS products.
Builds advanced AI systems using massive-scale distributed machine learning to achieve breakthrough performance. Requires strong programming skills and experience with large distributed systems.
Staff AI Engineer owns end-to-end AI features for Snowflake Cortex products, including agentic workflows, NL-to-SQL, context engineering, evaluations, and team leadership. Requires 5+ years shipping production AI, proficiency in Python/Go, and bachelor's in CS or related.
We are seeking full-time researchers to develop and analyze learning algorithms for a system that represents domain knowledge as modular probabilistic models. The role involves theoretical problems with immediate implementation applicability in finance and scientific research.
Designs, develops, and deploys AI-driven agentic systems and integrates emerging AI research to enhance platform capabilities for software organizations. Requires 2+ years AI/ML experience, proficiency with LLMs, and Bachelor's/Master's in CS or related field.
Builds and maintains scalable data processing pipelines and backend systems for a data curation platform that optimizes training data for ML models. Partners with researchers to integrate research capabilities, ensuring reliability and security for customer data.
Designs evaluation frameworks and benchmarks to test AI agents' autonomy, reasoning, and reliability in data pipelines and warehouses. Requires experience in LLM benchmarking, reinforcement learning, Python, PyTorch/JAX, and data engineering tools.
Develops RL environments and fine-tunes language models using PPO, DPO, and KTO to enhance agentic capabilities for data infrastructure tasks. Requires deep RL expertise, LLM fine-tuning knowledge, and strong problem-solving skills.
Build and maintain anti-abuse and content moderation infrastructure to ensure AI safety. Collaborate with engineers on AI alignment techniques, incident response, and risk mitigation using Python and cloud tools.
Optimizes and extends ML model serving infrastructure for LLMs, speech, and vision models, focusing on high-throughput, low-latency inference using frameworks like VLLM and SGLang. Requires deep PyTorch expertise, systems programming, and performance engineering for reliable production deployment.
Staff Engineer architects scalable agentic AI systems for property management platform, integrating LLMs to automate workflows. Requires hands-on expertise in agentic frameworks, React/Python/Node.js, and leading AI feature development in startup environment.
Builds and optimizes distributed training infrastructure for large-scale multimodal AI models across thousands of GPUs. Requires deep expertise in PyTorch, CUDA, parallelization techniques, and GPU clusters.
Develops and deploys ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, 2+ years experience with production ML, deep NLP expertise, Python, and frameworks like PyTorch/TensorFlow.
As an Autonomy Engineer, you will develop, integrate, and test core path planning capabilities for aerial platforms. This role involves writing software for real autonomous aircraft systems and collaborating with DoD experts to integrate autonomy software onto OEM hardware.
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using GenAI and graphics techniques to generate realistic synthetic data for AV testing. Requires 2+ years experience with neural rendering (NeRFs, Gaussian Splatting), PyTorch/TensorFlow, Python/C++, and 3D math.
Develops LLM-powered tools to boost developer productivity 10x, including code assistance, automated reviews, and task automation for autonomy software. Requires 7+ years experience as full-stack/backend developer fluent in Python or C++ with LLM optimization knowledge.
Builds AI-powered features for developer tools, including generative UIs from natural language, LLM performance improvements, and RAG patterns. Requires 3+ years experience with LLMs, modern AI techniques, and full-stack engineering in TypeScript/Node.js/React.
Optimizes large AI models for high-volume, low-latency production and research environments. Collaborates with researchers and engineers on inference stack performance, requiring 5+ years experience with PyTorch, GPUs, CUDA, and distributed systems.
Pioneers post-training techniques to enhance LLMs for agentic systems, focusing on tool-use, continuous updates, synthetic data infrastructure, and capability evaluations. Requires Python/PyTorch proficiency, post-training expertise, and proven research impact.
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using neural rendering techniques like NeRFs and Gaussian Splatting to generate high-fidelity synthetic data for AV AI training. Requires 5+ years experience with PyTorch/TensorFlow, Python/C++, and 3D graphics expertise.
Develops safe and reliable AI models for healthcare applications using techniques like RLHF, automated red teaming, and scalable oversight. Requires PhD, 4+ years in deep learning/LLM research, and focus on practical AI safety improvements.
Conducts research on societal impacts of AI models, translates policy problems into technical evaluations, and develops interventions for safe AGI deployment. Requires 3+ years research experience, Python proficiency, and expertise in AI safety techniques like RLHF.
Data Scientist embedding with product teams to define metrics, run A/B tests, build dashboards, and drive data-informed decisions for consumer and enterprise AI products. Requires 5+ years quantitative experience with SQL/Python in hyper-growth environments.
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.
Builds and productionizes AI models and systems for life sciences document generation, focusing on LLMs, NLP robustness, and reliable deployment pipelines. Bridges ML research, software engineering, and product needs in a high-stakes domain.
Designs, develops, and deploys ML models focused on fine-tuning multimodal LLMs for fraud detection and application automation in financial profiles. Requires 3+ years experience with Python, PyTorch, and expertise in information extraction from financial documents.
Develops advanced AI agents for healthcare revenue recovery, focusing on human-like conversational AI, model improvements, LLM orchestration, and evaluation frameworks to handle insurance interactions and billing tasks.
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.
Engineers optimize ML systems for performance at scale, focusing on GPU utilization, inference engines, and container runtime to boost throughput and reduce latency for language and diffusion models. Requires 5+ years experience with PyTorch, CUDA, and performance debugging.
Builds state-of-the-art document processing infrastructure using LLMs, including QA agents, optimizers, multimodal models, and self-correcting systems. Monitors production models, runs experiments, and owns large product areas for real-world customer impact.
Develops computational operators to enable LLMs to perform transparent, verifiable reasoning over thousands of iterations on knowledge states like scientific papers. Requires LLM experience, reasoning intuitions, and strong software engineering skills.
Staff AI Software Engineer builds and scales AI systems including PromptQL AI assistant, data engine, and runtime infrastructure for enterprise reliability. Requires 6+ years experience with AI/ML, distributed systems, LLMs, Python fluency, and technical leadership.
Builds and owns data pipelines, ETL processes, and infrastructure to power reporting and decision-making. Requires 4+ years experience with Python, PostgreSQL, Snowflake, and data modeling.
Junior Research Scientist develops and refines ML architectures and LLMs for conversational AI in housing/healthcare, applies advanced math/ML to predict behaviors and optimize interactions. Requires PhD in math/physics/CS or related, strong ML foundation, and onsite work.
Develops embedding models and retrieval systems to enable frontier AI models to access relevant information dynamically. Requires deep expertise in representation learning, vector retrieval, and transformer LLMs, with experience scaling ML systems.
Conducts research in mechanistic interpretability to understand deep network representations and enhance AI safety. Requires PhD or equivalent in ML/CS, 2+ years research engineering with Python, and passion for safe AGI.
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 high-performance inference infrastructure for OpenAI's multimodal models handling image, audio, and other non-text inputs at scale. Collaborate with research and product teams on low-latency production systems using GPU workloads and inference tooling.
Develops cutting-edge perception models using fused sensor data for autonomous vehicles, focusing on joint detection/tracking and embeddings for downstream systems. Requires MS/PhD in CS, PyTorch experience, and production deployment skills.
Advances AI capabilities through cutting-edge reinforcement learning research, training intelligent agents for models like o1 and o3. Requires RL research background, strong coding skills, and ability to iterate quickly in a fast-paced environment.
Designs and tests zero-knowledge proof systems for biometric likeness verification in privacy-focused identity solutions. Requires expertise in zk-SNARKs/STARKs, cryptography, and prototyping tools like Circom and Semaphore.
Develops and deploys cutting-edge AI models and LLM-based solutions for internal tools and customer products. Collaborates with product/engineering teams to prototype, iterate, and shape technical direction in a fast-paced startup environment. Requires 3+ years experience with Python, TypeScript, and AI frameworks.
Builds high-performance pipelines and building blocks for video understanding at scale using computer vision, audio processing, and ML optimization techniques. Requires 2+ years in CV/audio, strong Python/PyTorch skills, and passion for video tech.
Designs, builds, and maintains ML training and serving infrastructure, providing support to research teams. Requires 4+ years in ML infrastructure, cloud platforms like Kubernetes and Google Cloud, and GPU experience.
Leads GPU inference engineering for Sora, optimizing model serving efficiency, kernel-level performance, and scalability. Collaborates with research and product teams to build reliable infrastructure for multimodal AI models.
Develops advanced LLM-based knowledge graphs, RAG techniques, agents, and NLP features to enhance Onyx's AI knowledge retrieval platform. Requires 3+ years AI/ML experience with PyTorch/TensorFlow and strong software engineering skills.
Develops quantitative models and trading strategies for futures markets using financial data, machine learning, and statistical analysis. Requires 2+ years experience, STEM degree, and Python proficiency.
Builds and operates Habitat, OpenAI's core online database platform handling high-QPS, latency-sensitive workloads. Owns end-to-end distributed systems for storage, caching, routing, CDC, and privacy; requires 8+ years experience with Rust/Python expertise.
Builds ambitious RL environments and evaluation systems to measure and steer frontier AI models toward safe AGI. Requires strong ML research engineering, statistical skills, and red-teaming mindset for end-to-end project ownership in fast-paced setting.
Designs, develops, and deploys scalable ML systems and backend infrastructure for healthcare applications, translating LLM research into production while handling large-scale clinical data. Requires 3+ years ML backend experience, 5+ years software development, and backend languages like Python.
Develops novel AI agent applications using language models, manages model alpha program with OpenAI, architects risk AI workflows, and conducts experiments to evaluate model capabilities for B2B SaaS products.
Builds advanced AI systems using massive-scale distributed machine learning to achieve breakthrough performance. Requires strong programming skills and experience with large distributed systems.
Staff AI Engineer owns end-to-end AI features for Snowflake Cortex products, including agentic workflows, NL-to-SQL, context engineering, evaluations, and team leadership. Requires 5+ years shipping production AI, proficiency in Python/Go, and bachelor's in CS or related.
We are seeking full-time researchers to develop and analyze learning algorithms for a system that represents domain knowledge as modular probabilistic models. The role involves theoretical problems with immediate implementation applicability in finance and scientific research.
Designs, develops, and deploys AI-driven agentic systems and integrates emerging AI research to enhance platform capabilities for software organizations. Requires 2+ years AI/ML experience, proficiency with LLMs, and Bachelor's/Master's in CS or related field.
Builds and maintains scalable data processing pipelines and backend systems for a data curation platform that optimizes training data for ML models. Partners with researchers to integrate research capabilities, ensuring reliability and security for customer data.
Designs evaluation frameworks and benchmarks to test AI agents' autonomy, reasoning, and reliability in data pipelines and warehouses. Requires experience in LLM benchmarking, reinforcement learning, Python, PyTorch/JAX, and data engineering tools.
Develops RL environments and fine-tunes language models using PPO, DPO, and KTO to enhance agentic capabilities for data infrastructure tasks. Requires deep RL expertise, LLM fine-tuning knowledge, and strong problem-solving skills.
Build and maintain anti-abuse and content moderation infrastructure to ensure AI safety. Collaborate with engineers on AI alignment techniques, incident response, and risk mitigation using Python and cloud tools.
Optimizes and extends ML model serving infrastructure for LLMs, speech, and vision models, focusing on high-throughput, low-latency inference using frameworks like VLLM and SGLang. Requires deep PyTorch expertise, systems programming, and performance engineering for reliable production deployment.
Staff Engineer architects scalable agentic AI systems for property management platform, integrating LLMs to automate workflows. Requires hands-on expertise in agentic frameworks, React/Python/Node.js, and leading AI feature development in startup environment.
Builds and optimizes distributed training infrastructure for large-scale multimodal AI models across thousands of GPUs. Requires deep expertise in PyTorch, CUDA, parallelization techniques, and GPU clusters.
Develops and deploys ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, 2+ years experience with production ML, deep NLP expertise, Python, and frameworks like PyTorch/TensorFlow.
As an Autonomy Engineer, you will develop, integrate, and test core path planning capabilities for aerial platforms. This role involves writing software for real autonomous aircraft systems and collaborating with DoD experts to integrate autonomy software onto OEM hardware.
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using GenAI and graphics techniques to generate realistic synthetic data for AV testing. Requires 2+ years experience with neural rendering (NeRFs, Gaussian Splatting), PyTorch/TensorFlow, Python/C++, and 3D math.
Develops LLM-powered tools to boost developer productivity 10x, including code assistance, automated reviews, and task automation for autonomy software. Requires 7+ years experience as full-stack/backend developer fluent in Python or C++ with LLM optimization knowledge.
Builds AI-powered features for developer tools, including generative UIs from natural language, LLM performance improvements, and RAG patterns. Requires 3+ years experience with LLMs, modern AI techniques, and full-stack engineering in TypeScript/Node.js/React.
Optimizes large AI models for high-volume, low-latency production and research environments. Collaborates with researchers and engineers on inference stack performance, requiring 5+ years experience with PyTorch, GPUs, CUDA, and distributed systems.
Pioneers post-training techniques to enhance LLMs for agentic systems, focusing on tool-use, continuous updates, synthetic data infrastructure, and capability evaluations. Requires Python/PyTorch proficiency, post-training expertise, and proven research impact.
Develops and optimizes ML-driven 3D sensor simulations (cameras, lidar, radar) using neural rendering techniques like NeRFs and Gaussian Splatting to generate high-fidelity synthetic data for AV AI training. Requires 5+ years experience with PyTorch/TensorFlow, Python/C++, and 3D graphics expertise.
Develops safe and reliable AI models for healthcare applications using techniques like RLHF, automated red teaming, and scalable oversight. Requires PhD, 4+ years in deep learning/LLM research, and focus on practical AI safety improvements.
Conducts research on societal impacts of AI models, translates policy problems into technical evaluations, and develops interventions for safe AGI deployment. Requires 3+ years research experience, Python proficiency, and expertise in AI safety techniques like RLHF.
Data Scientist embedding with product teams to define metrics, run A/B tests, build dashboards, and drive data-informed decisions for consumer and enterprise AI products. Requires 5+ years quantitative experience with SQL/Python in hyper-growth environments.
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.
Builds and productionizes AI models and systems for life sciences document generation, focusing on LLMs, NLP robustness, and reliable deployment pipelines. Bridges ML research, software engineering, and product needs in a high-stakes domain.
Designs, develops, and deploys ML models focused on fine-tuning multimodal LLMs for fraud detection and application automation in financial profiles. Requires 3+ years experience with Python, PyTorch, and expertise in information extraction from financial documents.
Develops advanced AI agents for healthcare revenue recovery, focusing on human-like conversational AI, model improvements, LLM orchestration, and evaluation frameworks to handle insurance interactions and billing tasks.
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.
Engineers optimize ML systems for performance at scale, focusing on GPU utilization, inference engines, and container runtime to boost throughput and reduce latency for language and diffusion models. Requires 5+ years experience with PyTorch, CUDA, and performance debugging.
Builds state-of-the-art document processing infrastructure using LLMs, including QA agents, optimizers, multimodal models, and self-correcting systems. Monitors production models, runs experiments, and owns large product areas for real-world customer impact.
Develops computational operators to enable LLMs to perform transparent, verifiable reasoning over thousands of iterations on knowledge states like scientific papers. Requires LLM experience, reasoning intuitions, and strong software engineering skills.