Build scalable voice interface features through ML prototyping, infrastructure development, and inference optimization. Requires Python fluency, LLM expertise, and startup experience.
Develops and trains large-scale diffusion models for image/video generation, controllability modules like IPAdapters/ControlNets, and novel research techniques for production. Requires proven experience with image/video models at scale and deep learning frameworks.
Develops low-latency, high-throughput inference services for OCR and multimodal models, optimizing batching, kernels, and autoscaling while evaluating serving frameworks. Requires 3+ years in performance engineering or ML systems with strong Python and GPU experience.
Develops and fine-tunes specialized vision and language models for document understanding, including OCR, layout, tables, and charts. Requires 3+ years ML experience with PyTorch/JAX and strong engineering focus; onsite in San Francisco.
Develops and optimizes transformer-based vision-language models for physical security, owning full-cycle training, fine-tuning, and deployment optimization. Collaborates cross-functionally to integrate models into the platform using PyTorch/TensorFlow and advanced AI techniques.
Develops state-of-the-art agentic AI systems for issue triage, debugging, and predictive analytics using Sentry's error datasets. Requires 4+ years experience (with MS/PhD) or 6+ (with Bachelor's), Python, PyTorch expertise, and production ML deployment skills.
Builds AI systems for voice-first interfaces, audio intelligence pipelines, and real-world conversation analysis using Python/TypeScript and ML tools like PyTorch/OpenAI. Deploys production LLM systems with customer focus in NYC office.
Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.
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 state-of-the-art vision models and novel LLM techniques for document processing infrastructure. Monitors production models, runs experiments, and owns large product areas in a high-impact founding role.
Builds production AI agents and workflows for governance, risk, and compliance, fine-tuning LLMs on proprietary data for high-accuracy tasks like regulatory analysis and risk assessment. Requires 3+ years applied AI experience with production ML systems emphasizing explainability and responsibility.
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.
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
Build and own core AI agent features and SDKs for an autonomous identity platform. Work across the stack (React, GraphQL, Python/Flask) and mentor engineers as the team scales.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
As a Software Engineer on the Behavior Capabilities team, you will develop and implement algorithmic advancements to expand the robot's driving abilities in complex scenarios, focusing on improving trip progress and vehicle uptime.
Hands-on AI Engineer prototyping and refining LLM-based features, upgrading capabilities with prompt engineering and fine-tuning, while creating evaluations and migration processes for Fathom's meeting AI product. Requires Python proficiency, analytics skills, and Master's degree.
Build scalable voice interface features through ML prototyping, infrastructure development, and inference optimization. Requires Python fluency, LLM expertise, and startup experience.
Develops and trains large-scale diffusion models for image/video generation, controllability modules like IPAdapters/ControlNets, and novel research techniques for production. Requires proven experience with image/video models at scale and deep learning frameworks.
Develops low-latency, high-throughput inference services for OCR and multimodal models, optimizing batching, kernels, and autoscaling while evaluating serving frameworks. Requires 3+ years in performance engineering or ML systems with strong Python and GPU experience.
Develops and fine-tunes specialized vision and language models for document understanding, including OCR, layout, tables, and charts. Requires 3+ years ML experience with PyTorch/JAX and strong engineering focus; onsite in San Francisco.
Develops and optimizes transformer-based vision-language models for physical security, owning full-cycle training, fine-tuning, and deployment optimization. Collaborates cross-functionally to integrate models into the platform using PyTorch/TensorFlow and advanced AI techniques.
Develops state-of-the-art agentic AI systems for issue triage, debugging, and predictive analytics using Sentry's error datasets. Requires 4+ years experience (with MS/PhD) or 6+ (with Bachelor's), Python, PyTorch expertise, and production ML deployment skills.
Builds AI systems for voice-first interfaces, audio intelligence pipelines, and real-world conversation analysis using Python/TypeScript and ML tools like PyTorch/OpenAI. Deploys production LLM systems with customer focus in NYC office.
Builds autonomous AI agents for workflows like email generation, prospect research, and meeting scheduling. Requires 2+ years shipping AI products with expertise in LLMs, RAG, agents, and production optimization.
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 state-of-the-art vision models and novel LLM techniques for document processing infrastructure. Monitors production models, runs experiments, and owns large product areas in a high-impact founding role.
Builds production AI agents and workflows for governance, risk, and compliance, fine-tuning LLMs on proprietary data for high-accuracy tasks like regulatory analysis and risk assessment. Requires 3+ years applied AI experience with production ML systems emphasizing explainability and responsibility.
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.
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
Build and own core AI agent features and SDKs for an autonomous identity platform. Work across the stack (React, GraphQL, Python/Flask) and mentor engineers as the team scales.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
As a Software Engineer on the Behavior Capabilities team, you will develop and implement algorithmic advancements to expand the robot's driving abilities in complex scenarios, focusing on improving trip progress and vehicle uptime.
Hands-on AI Engineer prototyping and refining LLM-based features, upgrading capabilities with prompt engineering and fine-tuning, while creating evaluations and migration processes for Fathom's meeting AI product. Requires Python proficiency, analytics skills, and Master's degree.