Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.
Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Own evaluation science and post-training methodology for Reddit's foundational LLMs. Define benchmarks, design model-as-a-judge systems, and set SFT recipes that turn base models into safe, Reddit-native endpoints.
8-month modelling residency embedded in production and research projects, focusing on adaptive algorithms, real-time learning, model efficiency, and cross-stack optimization. Requires Python, deep learning frameworks, and ML optimization experience.
Staff ML Systems Engineer leading large-scale embedding and recommendation model architecture, distributed training, and real-time serving. Owns ML strategy and mentors engineers on personalization systems.
Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ years industry computer vision experience and an M.S. or Ph.D.
PhD intern role focused on LLM research, large-scale ML systems, and e-commerce applications including search, recommendations, and knowledge graphs. Requires strong ML foundations and programming skills.
PhD intern on Instacart's Economics team building ML solutions at the intersection of economics and machine learning. Requires causal inference expertise, Python/R, and SQL/Pandas fluency.
Build and operate production multi-agent AI systems that turn longitudinal health data into actionable clinical recommendations. Requires 6+ years building production ML or backend systems plus 1+ years building agentic AI.
Principal-level IC building and scaling production autonomous agents and agentic workflows across Block's ecosystem using frontier LLMs. Requires 15+ years experience shipping AI systems from zero to production scale.
Build and productionize large-scale recommendation systems, NLP/embedding models, and agentic AI workflows. Requires 6+ years ML/NLP experience and expertise in PyTorch/TensorFlow, RAG, and vector search.
Staff-level engineer building LLM/ML systems for clinical documentation review, risk detection in healthcare claims, and provider-patient matching at a mental healthcare platform.
Software Engineer building and shipping AI-enabled features and workflows for a healthcare price transparency platform. Requires 2+ years Python experience and SQL knowledge.
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.
Senior IC role owning search and recommendation systems for a consumer social platform. Build retrieval, ranking, and discovery models that drive user engagement and content distribution.
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.
Senior engineer building and shipping production-grade GenAI systems for ad creative generation, including multimodal models and interactive playables. Requires 5+ years experience, strong Python/JS skills, and proven LLM production experience.
First dedicated AI engineer building and shipping LLM-powered features into a healthcare EHR platform. Own end-to-end delivery of production AI capabilities, establish evaluation and observability practices, and enable other product teams to adopt AI patterns.
Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.
Build and optimize AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists to implement scalable AI solutions on cloud infrastructure.
Build and operate production ML systems for ranking, recommendations, search, and customer intelligence signals used across product, growth, risk, and decisioning teams. Requires 12+ years of production ML experience and deep expertise in intelligent systems.
Build and deploy production ML models and pipelines to detect suspicious activity, improve verification accuracy, and support threat intelligence workflows.
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 ML/AI Modeler, you will automate Risk and Compliance investigations at Block using agentic and generative AI. You will experiment with and deploy AI copilot and autopilot systems, owning the end-to-end system from API calls to productionization and monitoring.
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.
As a Senior Software Engineer, AI Platform & Agents, you will build and maintain core AI infrastructure, services, and SDKs. You will partner with scientists and data engineers to translate research into scalable AI services and design robust data pipelines.
As an AI Engineer, you will build and maintain Clarium's master data enrichment pipeline, focusing on classification and entity resolution workflows. You will write production Python and SQL code, analyze complex datasets, and proactively audit data for quality issues.
As a Senior Python Software Engineer, you will develop and maintain core features for Gradio and Trackio, Python frameworks for building machine learning web apps. This role involves architecting complex Python projects, collaborating with open-source contributors, and integrating modern frontend technologies.
As a Senior Software Engineer, you will design and implement AI-powered features, create scalable APIs, and integrate AI/ML models into production systems. This role requires strong backend development experience and a high level of ownership.
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 a Senior Software Engineer II on the ML/AI Platform team, you will build and define the internal platform for training and deploying AI models across the organization. This role involves developing SDKs and supporting infrastructure for AI model fine-tuning and batch inference.
Instacart is seeking a Senior Software Engineer II for their AI Labs & Foundations team to design, build, and operate high-scale production AI systems. This role involves working on cutting-edge AI experiences like conversational shopping agents and voice AI, requiring expertise in robust software engineering and production AI/ML.
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 productionize AI integrations across Cribl's observability platform. Requires 5+ years building AI features end-to-end with fullstack experience in React, TypeScript/JavaScript, and backend systems plus hands-on LLM/agent work.
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.
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.
Build, train, and deploy production ML models for underwriting and portfolio management at Stripe Capital. Requires 5+ years shipping ML systems with PyTorch/TensorFlow and experience in lending/fraud domains.
Lead biosignal algorithm development from requirements to production for medical devices, leveraging ML/DL, DSP, and statistics. Requires 4+ years industry experience bringing algorithms into production.
Design, train, and productionize ML models and pipelines for AI-enabled security/observability platforms. Requires 4+ years experience with Python, PyTorch/TensorFlow, and modern ML techniques.
Senior AI Engineer building internal AI-powered solutions end-to-end for GitLab's Sales, Marketing, and Support teams. Responsible for diagnosing problems, selecting models, designing agentic systems with guardrails, and shipping production solutions that improve organizational flow.
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.
Build and operate AI-powered features end-to-end for Calendly customers, from design through deployment. Requires 6+ years applied AI/ML experience, GenAI architecture skills, and strong programming in Python/Scala/Java/SQL.
Founding engineer owning architecture and delivery of enterprise agentic AI systems. Hands-on builder of LLM orchestration, tool integrations, memory, evaluation, and production-grade infrastructure.
Technical lead defining ML strategy and systems to improve Pinterest's content ecosystem health, marketplace dynamics, and long-term outcomes. Requires strong ML fundamentals, marketplace thinking, and experience leading high-scale, multi-objective optimization projects.
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.
Founding ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Requires 5+ years applied ML experience shipping systems and 4+ years backend/infra engineering.
Staff ML Engineer leading end-to-end identity verification ML systems including document authenticity, face matching, liveness detection, GNN-based identity graphs, and behavioral risk models. Requires 8+ years production ML experience and domain expertise in biometrics or fraud detection.
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Own evaluation science and post-training methodology for Reddit's foundational LLMs. Define benchmarks, design model-as-a-judge systems, and set SFT recipes that turn base models into safe, Reddit-native endpoints.
8-month modelling residency embedded in production and research projects, focusing on adaptive algorithms, real-time learning, model efficiency, and cross-stack optimization. Requires Python, deep learning frameworks, and ML optimization experience.
Staff ML Systems Engineer leading large-scale embedding and recommendation model architecture, distributed training, and real-time serving. Owns ML strategy and mentors engineers on personalization systems.
Build and fine-tune vision-centric VLMs and generative models using Pinterest's visual-text datasets. Requires 2+ years industry computer vision experience and an M.S. or Ph.D.
PhD intern role focused on LLM research, large-scale ML systems, and e-commerce applications including search, recommendations, and knowledge graphs. Requires strong ML foundations and programming skills.
PhD intern on Instacart's Economics team building ML solutions at the intersection of economics and machine learning. Requires causal inference expertise, Python/R, and SQL/Pandas fluency.
Build and operate production multi-agent AI systems that turn longitudinal health data into actionable clinical recommendations. Requires 6+ years building production ML or backend systems plus 1+ years building agentic AI.
Principal-level IC building and scaling production autonomous agents and agentic workflows across Block's ecosystem using frontier LLMs. Requires 15+ years experience shipping AI systems from zero to production scale.
Build and productionize large-scale recommendation systems, NLP/embedding models, and agentic AI workflows. Requires 6+ years ML/NLP experience and expertise in PyTorch/TensorFlow, RAG, and vector search.
Staff-level engineer building LLM/ML systems for clinical documentation review, risk detection in healthcare claims, and provider-patient matching at a mental healthcare platform.
Software Engineer building and shipping AI-enabled features and workflows for a healthcare price transparency platform. Requires 2+ years Python experience and SQL knowledge.
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.
Senior IC role owning search and recommendation systems for a consumer social platform. Build retrieval, ranking, and discovery models that drive user engagement and content distribution.
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.
Senior engineer building and shipping production-grade GenAI systems for ad creative generation, including multimodal models and interactive playables. Requires 5+ years experience, strong Python/JS skills, and proven LLM production experience.
First dedicated AI engineer building and shipping LLM-powered features into a healthcare EHR platform. Own end-to-end delivery of production AI capabilities, establish evaluation and observability practices, and enable other product teams to adopt AI patterns.
Build agentic capabilities on a petabyte-scale observability platform. Own the full agent stack including context engineering, tool design, evals, and production reliability for incident investigation.
Build and optimize AI/ML pipelines for data processing, model training, and deployment. Collaborate with data scientists to implement scalable AI solutions on cloud infrastructure.
Build and operate production ML systems for ranking, recommendations, search, and customer intelligence signals used across product, growth, risk, and decisioning teams. Requires 12+ years of production ML experience and deep expertise in intelligent systems.
Build and deploy production ML models and pipelines to detect suspicious activity, improve verification accuracy, and support threat intelligence workflows.
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 ML/AI Modeler, you will automate Risk and Compliance investigations at Block using agentic and generative AI. You will experiment with and deploy AI copilot and autopilot systems, owning the end-to-end system from API calls to productionization and monitoring.
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.
As a Senior Software Engineer, AI Platform & Agents, you will build and maintain core AI infrastructure, services, and SDKs. You will partner with scientists and data engineers to translate research into scalable AI services and design robust data pipelines.
As an AI Engineer, you will build and maintain Clarium's master data enrichment pipeline, focusing on classification and entity resolution workflows. You will write production Python and SQL code, analyze complex datasets, and proactively audit data for quality issues.
As a Senior Python Software Engineer, you will develop and maintain core features for Gradio and Trackio, Python frameworks for building machine learning web apps. This role involves architecting complex Python projects, collaborating with open-source contributors, and integrating modern frontend technologies.
As a Senior Software Engineer, you will design and implement AI-powered features, create scalable APIs, and integrate AI/ML models into production systems. This role requires strong backend development experience and a high level of ownership.
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 a Senior Software Engineer II on the ML/AI Platform team, you will build and define the internal platform for training and deploying AI models across the organization. This role involves developing SDKs and supporting infrastructure for AI model fine-tuning and batch inference.
Instacart is seeking a Senior Software Engineer II for their AI Labs & Foundations team to design, build, and operate high-scale production AI systems. This role involves working on cutting-edge AI experiences like conversational shopping agents and voice AI, requiring expertise in robust software engineering and production AI/ML.
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 productionize AI integrations across Cribl's observability platform. Requires 5+ years building AI features end-to-end with fullstack experience in React, TypeScript/JavaScript, and backend systems plus hands-on LLM/agent work.
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.
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.
Build, train, and deploy production ML models for underwriting and portfolio management at Stripe Capital. Requires 5+ years shipping ML systems with PyTorch/TensorFlow and experience in lending/fraud domains.
Lead biosignal algorithm development from requirements to production for medical devices, leveraging ML/DL, DSP, and statistics. Requires 4+ years industry experience bringing algorithms into production.
Design, train, and productionize ML models and pipelines for AI-enabled security/observability platforms. Requires 4+ years experience with Python, PyTorch/TensorFlow, and modern ML techniques.
Senior AI Engineer building internal AI-powered solutions end-to-end for GitLab's Sales, Marketing, and Support teams. Responsible for diagnosing problems, selecting models, designing agentic systems with guardrails, and shipping production solutions that improve organizational flow.
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.
Build and operate AI-powered features end-to-end for Calendly customers, from design through deployment. Requires 6+ years applied AI/ML experience, GenAI architecture skills, and strong programming in Python/Scala/Java/SQL.
Founding engineer owning architecture and delivery of enterprise agentic AI systems. Hands-on builder of LLM orchestration, tool integrations, memory, evaluation, and production-grade infrastructure.
Technical lead defining ML strategy and systems to improve Pinterest's content ecosystem health, marketplace dynamics, and long-term outcomes. Requires strong ML fundamentals, marketplace thinking, and experience leading high-scale, multi-objective optimization projects.
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.