Build and maintain distributed inference systems serving Claude to millions of users. Design intelligent routing, autoscaling, and high-performance infrastructure across diverse AI accelerators.
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.
Build and productionize ML models for risk detection and decisioning systems. Requires 1-2 years applied ML experience and familiarity with AWS, model evaluation, and experimentation.
Senior AI/ML Engineer building transformer and deep learning models on financial and behavioral data to power personalized growth and marketing experiences at Chime. Requires strong production ML experience with PyTorch, AWS, and large-scale data infrastructure.
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.
ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.
Build and own multimodal AI product and platform systems across the stack at Perplexity. Requires production systems experience, full-stack capability, and strong product judgment.
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.
Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.
Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.
Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.
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.
Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.
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.
Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.
Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.
Staff Applied ML Engineer building and operating production ML decision systems to detect and prevent payment fraud, scams, identity abuse, and marketplace risk across Block.
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.
Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.
Senior AI Engineer building and scaling production GenAI systems for CreditAI, including multi-agent workflows, RAG pipelines, LLM fine-tuning, and AWS deployments. Requires 5+ years of AI/ML experience and deep Python expertise.
As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.
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.
Mach9 is seeking a Head of Machine Learning to lead and grow a team of ML engineers and researchers. This hands-on leadership role involves defining the technical vision for ML strategy, mentoring the team, and owning the process from research to product.
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 an ML Engineer at Mach9, you will build perception models for an AI-enabled CAD system, focusing on extracting 3D object and line features from LiDAR point clouds and imagery. This role involves end-to-end ownership from research to production.
Lead end-to-end delivery of ML initiatives for customer support, focusing on conversational AI and generative AI. Partner with cross-functional teams to define ML roadmaps and drive R&D efforts for next-generation chatbot architectures.
As a Software Engineer on the Hosted Model Infrastructure team, you will build and operate high-performance model serving infrastructure, deployment pipelines, and observability for production AI systems. This role involves working across the full stack to enable ML models in various environments, including air-gapped government networks and edge nodes.
As a Staff ML Platform Engineer, you will drive the technical vision and execution of Grow Therapy's Machine Learning Platform, designing and building large-scale, real-time ML systems to power core product experiences like patient-provider matching.
As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.
Build and scale secure generative AI services and applications using Python, LLMs, and modern frameworks. Own architecture decisions from proposal through production deployment for enterprise customers.
As a Senior Software Engineer on the AI Platform team, you will own end-to-end technical design and implementation for high-impact AI platform initiatives. You will build scalable agent infrastructure, design observable and self-correcting systems, and mentor junior engineers.
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 a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.
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.
This is a founding technical role to build and shape Applied Intuition’s robotics organization. You will define technical architecture, write production code for robotics software and AI, and build functional demos on physical hardware.
As a Staff Software Engineer, Machine Learning Platform, you will be a technical lead, defining strategy and leading the technical direction for the next generation of ML infrastructure at Stripe. You will take ownership of end-to-end architecture and system design for complex projects, working cross-functionally to drive significant business impact.
The Software Engineer, RL Data will build systems for high-quality reinforcement learning data for Claude, focusing on data collection, human feedback tooling, and quality assurance. This role involves end-to-end ownership of the stack, pipeline engineering, and supporting research teams.
As a Member of Technical Staff, Robotics Research Engineer, you will lead the robotics vertical of world models, transforming video-native foundation models into policies for real robots. This hands-on role involves designing robot learning pipelines, deploying policies on hardware, and conducting experiments to advance manipulation and locomotion performance.
As a Staff Machine Learning Engineer, you will lead the ML strategy and execution for the Advertiser and Seller Experience team, building recommendation systems and context foundations. This role requires deep expertise in recommendation systems and modern agentic AI to shape advertiser and seller workflows.
As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.
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 Software Engineer, you will build and design the machine learning infrastructure for OpenAI's monetization and ads systems. This involves developing large-scale data pipelines, model training platforms, real-time inference systems, and experimentation frameworks to support high-throughput, low-latency advertising workloads.
As a Staff Engineer, Harness Engineering, you will own the meta-harness that powers all Harper AI agents, both product and coding. This involves designing and building the agent loop, execution environment, tool layer, and model-provider abstraction to ensure efficient and reliable agent operation.
The Senior Member of Technical Staff, AI Quality will build and operate evaluation frameworks for production LLM systems, focusing on creating robust regression suites and monitoring tools to ensure the quality and reliability of AI agents.
As a Senior Member of Technical Staff, Harness Engineering, you will build the core substrate for Harper's AI agents, focusing on agent loop primitives, execution environment infrastructure, and tool layer ownership. You will work with frontier coding agents and internal agents, shipping primitives that agent teams depend on.
Build and maintain distributed inference systems serving Claude to millions of users. Design intelligent routing, autoscaling, and high-performance infrastructure across diverse AI accelerators.
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.
Build and productionize ML models for risk detection and decisioning systems. Requires 1-2 years applied ML experience and familiarity with AWS, model evaluation, and experimentation.
Senior AI/ML Engineer building transformer and deep learning models on financial and behavioral data to power personalized growth and marketing experiences at Chime. Requires strong production ML experience with PyTorch, AWS, and large-scale data infrastructure.
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.
ML Engineer building and optimizing production recommendation, ranking, and personalization systems that integrate LLMs for Perplexity's AI product.
Build and own multimodal AI product and platform systems across the stack at Perplexity. Requires production systems experience, full-stack capability, and strong product judgment.
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.
Optimize inference for real-time multimodal AI avatars. Specialize in LLM and diffusion model serving, KV cache strategies, quantization, and low-latency frameworks like vLLM and TensorRT-LLM.
Own RL and post-training infrastructure for omni foundation models. Build and scale rollout, reward, and policy systems from 0→1 for real-time audiovisual AI.
Research Engineer training and scaling flagship open multimodal and agentic models (Olmo, Molmo). Owns end-to-end ML infrastructure, model development, and open-source releases.
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.
Staff Applied Scientist defining evaluation strategy and quality metrics for Datadog's AI-native Dashboards product. Owns ML/GenAI evaluation systems, builds datasets and harnesses, and drives improvements in retrieval, tool selection, and agent performance.
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.
Research Engineer/Scientist building vision-language pipelines and data systems for robot learning. Focus on turning egocentric/teleoperation video into high-signal training data for VLAs and world models.
Own and scale the distributed training infrastructure for large-scale omni model pretraining across GPU clusters, covering job orchestration, parallelism, GPU communication, data loading, and performance optimization.
Staff Applied ML Engineer building and operating production ML decision systems to detect and prevent payment fraud, scams, identity abuse, and marketplace risk across Block.
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.
Part-time student worker building and validating a driving risk assessment system and experimental RAG pipeline for autonomous vehicle behavior testing. Requires Python, ML/stats, and data skills; 40 hrs/week onsite hybrid commitment.
Senior AI Engineer building and scaling production GenAI systems for CreditAI, including multi-agent workflows, RAG pipelines, LLM fine-tuning, and AWS deployments. Requires 5+ years of AI/ML experience and deep Python expertise.
As a Staff Engineer for Search, you will build and scale Databricks' next-generation Search product, driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack. You will also define the long-term vision, mentor senior engineers, and lead strategic efforts.
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.
Mach9 is seeking a Head of Machine Learning to lead and grow a team of ML engineers and researchers. This hands-on leadership role involves defining the technical vision for ML strategy, mentoring the team, and owning the process from research to product.
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 an ML Engineer at Mach9, you will build perception models for an AI-enabled CAD system, focusing on extracting 3D object and line features from LiDAR point clouds and imagery. This role involves end-to-end ownership from research to production.
Lead end-to-end delivery of ML initiatives for customer support, focusing on conversational AI and generative AI. Partner with cross-functional teams to define ML roadmaps and drive R&D efforts for next-generation chatbot architectures.
As a Software Engineer on the Hosted Model Infrastructure team, you will build and operate high-performance model serving infrastructure, deployment pipelines, and observability for production AI systems. This role involves working across the full stack to enable ML models in various environments, including air-gapped government networks and edge nodes.
As a Staff ML Platform Engineer, you will drive the technical vision and execution of Grow Therapy's Machine Learning Platform, designing and building large-scale, real-time ML systems to power core product experiences like patient-provider matching.
As a Senior Staff Machine Learning Engineer, you will design and build large-scale, end-to-end recommendation systems for Reddit's Notifications Relevance team. You will leverage machine learning and LLMs to deliver personalized content to users, driving growth and user engagement.
Build and scale secure generative AI services and applications using Python, LLMs, and modern frameworks. Own architecture decisions from proposal through production deployment for enterprise customers.
As a Senior Software Engineer on the AI Platform team, you will own end-to-end technical design and implementation for high-impact AI platform initiatives. You will build scalable agent infrastructure, design observable and self-correcting systems, and mentor junior engineers.
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 a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.
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.
This is a founding technical role to build and shape Applied Intuition’s robotics organization. You will define technical architecture, write production code for robotics software and AI, and build functional demos on physical hardware.
As a Staff Software Engineer, Machine Learning Platform, you will be a technical lead, defining strategy and leading the technical direction for the next generation of ML infrastructure at Stripe. You will take ownership of end-to-end architecture and system design for complex projects, working cross-functionally to drive significant business impact.
The Software Engineer, RL Data will build systems for high-quality reinforcement learning data for Claude, focusing on data collection, human feedback tooling, and quality assurance. This role involves end-to-end ownership of the stack, pipeline engineering, and supporting research teams.
As a Member of Technical Staff, Robotics Research Engineer, you will lead the robotics vertical of world models, transforming video-native foundation models into policies for real robots. This hands-on role involves designing robot learning pipelines, deploying policies on hardware, and conducting experiments to advance manipulation and locomotion performance.
As a Staff Machine Learning Engineer, you will lead the ML strategy and execution for the Advertiser and Seller Experience team, building recommendation systems and context foundations. This role requires deep expertise in recommendation systems and modern agentic AI to shape advertiser and seller workflows.
As a Software Engineer on the Inference Stack team, you will build the distributed runtime that powers large-scale LLM inference. This role involves working across the stack, from developer experience to low-level infrastructure, and owning systems in production.
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 Software Engineer, you will build and design the machine learning infrastructure for OpenAI's monetization and ads systems. This involves developing large-scale data pipelines, model training platforms, real-time inference systems, and experimentation frameworks to support high-throughput, low-latency advertising workloads.
As a Staff Engineer, Harness Engineering, you will own the meta-harness that powers all Harper AI agents, both product and coding. This involves designing and building the agent loop, execution environment, tool layer, and model-provider abstraction to ensure efficient and reliable agent operation.
The Senior Member of Technical Staff, AI Quality will build and operate evaluation frameworks for production LLM systems, focusing on creating robust regression suites and monitoring tools to ensure the quality and reliability of AI agents.
As a Senior Member of Technical Staff, Harness Engineering, you will build the core substrate for Harper's AI agents, focusing on agent loop primitives, execution environment infrastructure, and tool layer ownership. You will work with frontier coding agents and internal agents, shipping primitives that agent teams depend on.