Build and scale real-time TTS serving infrastructure for voice AI models, from GPU inference engines to production APIs. Requires hands-on experience with multinode ML serving frameworks, distributed inference, and cloud/SRE practices.
Machine Learning Engineer focused on GPU-based simulation frameworks, reinforcement learning, and bridging sim-to-real gaps for autonomous vehicle safety validation. Requires MS/PhD and strong C++/Python experience.
Build agentic AI workflows and LLM-powered loyalty experiences on the Loyalty Wallet team. Requires 6+ years building production AI/LLM systems with strong backend fundamentals.
Staff-level engineer building and operating Coinbase's LLM/agent infrastructure including gateway, runtime, knowledge bases, and applied AI agents. Own multi-quarter platform initiatives and partner with frontier labs.
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Hands-on technical leader building and scaling large language models and AI systems. Requires 3-5+ years of AI/ML experience with strong Python and deep learning frameworks.
Build and ship production AI agents and internal tools that automate workflows for non-technical teams. Partner with business stakeholders to identify high-ROI opportunities and architect the company's agentic AI platform.
Build and deploy cutting-edge ML and Generative AI systems to transform Airbnb's customer support experience, focusing on LLM fine-tuning, RAG, and intelligent service automation.
Lead technical direction for Pinterest's unified AI-powered Trends and Audience Insights platform. Architect scalable ML data pipelines and LLM capabilities while mentoring engineers and driving cross-team integrations.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience. Requires PhD or equivalent experience and production ML/AI deployment expertise.
Research engineer on the Safeguards Labs team building and evaluating novel safety methods to detect misuse, strengthen model safeguards, and reduce real-world harm from Claude.
Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.
Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.
Build and productionize multimodal AI systems that turn unstructured healthcare documents, faxes, and transcripts into reliable structured data and automated workflows using LLMs, OCR, and voice AI.
Senior Software Engineer building scalable AI infrastructure, agent orchestration frameworks, evaluation systems, and high-performance LLM serving at Mixpanel. Requires 5+ years experience and hands-on LLM/agent work.
Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Staff Engineer building and shipping LLM-powered retirement features end-to-end. Owns architecture decisions, integrates models, and collaborates closely with product and design.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.
Senior ML Engineer building and deploying production risk and fraud detection models at scale for Cash App and Square. Owns end-to-end ML systems and partners cross-functionally to reduce financial loss.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Lead technical vision and execution for post-training systems that transform foundation models into intelligent, engaging products. Drive alignment algorithms, RL, and infrastructure for large-scale LLM training and serving.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.
Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.
Build and operate Mercury's real-time ML inference platform for fraud risk decisioning. Own model deployment, observability, and lifecycle tooling with strong backend Python fundamentals.
Drive ML initiatives from concept to production on the Embedded Insights team. Identify opportunities, build and deploy models using Plaid's financial datasets, and partner with product teams to deliver scalable customer-facing intelligence products.
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.
Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.
Perception engineer building robot training data pipelines: hand/body pose estimation, multi-camera calibration, SLAM, perception model training, and TensorRT/CUDA deployment on embedded platforms.
Staff-level engineer building and operating production ML inference systems, data pipelines, and backend services that deliver personalized health insights from physiological data at scale.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Develop and optimize GPU kernels and deep learning systems for LLM training and inference at Snowflake AI Research. Requires 5+ years in GPU/HPC optimization and strong proficiency in PyTorch, TensorFlow, JAX, and CUDA.
Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.
Build and scale ML infrastructure platform for autonomous vehicle development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and scale ML infrastructure platform for autonomous vehicle model development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment of large models to Nuro's self-driving fleet. Requires 3+ years ML optimization experience and strong Python/C++/CUDA skills.
Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 3+ years shipping data-driven algorithms to production.
Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.
Build and scale real-time TTS serving infrastructure for voice AI models, from GPU inference engines to production APIs. Requires hands-on experience with multinode ML serving frameworks, distributed inference, and cloud/SRE practices.
Machine Learning Engineer focused on GPU-based simulation frameworks, reinforcement learning, and bridging sim-to-real gaps for autonomous vehicle safety validation. Requires MS/PhD and strong C++/Python experience.
Build agentic AI workflows and LLM-powered loyalty experiences on the Loyalty Wallet team. Requires 6+ years building production AI/LLM systems with strong backend fundamentals.
Staff-level engineer building and operating Coinbase's LLM/agent infrastructure including gateway, runtime, knowledge bases, and applied AI agents. Own multi-quarter platform initiatives and partner with frontier labs.
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Hands-on technical leader building and scaling large language models and AI systems. Requires 3-5+ years of AI/ML experience with strong Python and deep learning frameworks.
Build and ship production AI agents and internal tools that automate workflows for non-technical teams. Partner with business stakeholders to identify high-ROI opportunities and architect the company's agentic AI platform.
Build and deploy cutting-edge ML and Generative AI systems to transform Airbnb's customer support experience, focusing on LLM fine-tuning, RAG, and intelligent service automation.
Lead technical direction for Pinterest's unified AI-powered Trends and Audience Insights platform. Architect scalable ML data pipelines and LLM capabilities while mentoring engineers and driving cross-team integrations.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience. Requires PhD or equivalent experience and production ML/AI deployment expertise.
Research engineer on the Safeguards Labs team building and evaluating novel safety methods to detect misuse, strengthen model safeguards, and reduce real-world harm from Claude.
Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.
Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.
Build and productionize multimodal AI systems that turn unstructured healthcare documents, faxes, and transcripts into reliable structured data and automated workflows using LLMs, OCR, and voice AI.
Senior Software Engineer building scalable AI infrastructure, agent orchestration frameworks, evaluation systems, and high-performance LLM serving at Mixpanel. Requires 5+ years experience and hands-on LLM/agent work.
Tech Lead driving AI R&D and end-to-end delivery of production-ready prototypes using full-stack development, LLMs, and emerging technologies. Requires 10+ years experience and strong autonomy.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Staff Engineer building and shipping LLM-powered retirement features end-to-end. Owns architecture decisions, integrates models, and collaborates closely with product and design.
Build large-scale ML experimentation and training orchestration platforms, including agentic AI execution systems, to accelerate Ads ML development at Reddit. Requires 5+ years infrastructure experience and 2+ years building production ML platforms.
Senior individual contributor architecting and scaling agentic LLM systems that turn messy manufacturing data into reliable root-cause insights. Owns orchestration, retrieval, evaluation, and guardrails for non-deterministic production systems.
Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.
Senior ML Engineer building and deploying production risk and fraud detection models at scale for Cash App and Square. Owns end-to-end ML systems and partners cross-functionally to reduce financial loss.
Build and improve large-scale ML models for personalization and recommendation across Pinterest surfaces including Shopping. Requires 5+ years applying ML methods and experience with big data pipelines.
Senior Research Engineer building data synthesis, analysis, and management tooling for AI safety model training and evaluation. Requires strong software engineering, statistics, and ML framework expertise.
Lead technical vision and execution for post-training systems that transform foundation models into intelligent, engaging products. Drive alignment algorithms, RL, and infrastructure for large-scale LLM training and serving.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
Research and develop improvements to models' personalization and agentic capabilities through reinforcement learning, dataset creation, and post-training methods. Requires strong ML engineering skills and research experience with novel models.
Own end-to-end data strategy and RL environment creation for domain-specific knowledge work (finance, healthcare, legal). Combine applied research with hands-on data sourcing, vendor management, and model performance measurement.
Senior ML Engineer focused on fine-tuning and deploying LLMs and generative AI features into Firefox, emphasizing privacy, latency, and user experience.
Lead design and delivery of high-priority AI initiatives across multiple codebases. Build and ship AI-powered features with strong backend fundamentals and product sense.
Build and operate Mercury's real-time ML inference platform for fraud risk decisioning. Own model deployment, observability, and lifecycle tooling with strong backend Python fundamentals.
Drive ML initiatives from concept to production on the Embedded Insights team. Identify opportunities, build and deploy models using Plaid's financial datasets, and partner with product teams to deliver scalable customer-facing intelligence products.
Design and implement evaluation frameworks and pipelines for AI systems using Evaluation-Driven Development. Build Python-based test suites, LLM graders, and measurement systems that guide prompt iteration and production deployment decisions.
Senior Engineer building multi-agent AI systems, LLM integrations, and backend automation services that power Marketing Operations. Owns technical direction for agentic infrastructure connecting models to business systems.
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience, including Chat and Voice AI assistants. Requires 6+ years experience with production ML/AI systems at scale.
Build and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.
Research Engineer building and deploying production voice and multimodal ML models. Requires expert PyTorch, large-scale model training experience, and shipping user-facing ML systems.
Perception engineer building robot training data pipelines: hand/body pose estimation, multi-camera calibration, SLAM, perception model training, and TensorRT/CUDA deployment on embedded platforms.
Staff-level engineer building and operating production ML inference systems, data pipelines, and backend services that deliver personalized health insights from physiological data at scale.
Technical leader for Reddit's Notifications Relevance ML systems, driving large-scale recommendation systems spanning retrieval, ranking, budget optimization, and LLM-powered experiences.
Develop and optimize GPU kernels and deep learning systems for LLM training and inference at Snowflake AI Research. Requires 5+ years in GPU/HPC optimization and strong proficiency in PyTorch, TensorFlow, JAX, and CUDA.
Technical leader building agent infrastructure, observability, evals, and guardrails for production AI systems at Watershed. Requires 6+ years backend/platform/AI engineering experience and production TypeScript systems.
Build and scale ML infrastructure platform for autonomous vehicle development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and scale ML infrastructure platform for autonomous vehicle model development, focusing on automated resource provisioning, high-performance workload scheduling, and petabyte-scale data processing pipelines.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment of large models to Nuro's self-driving fleet. Requires 3+ years ML optimization experience and strong Python/C++/CUDA skills.
Build and optimize large-scale simulation and ML training pipelines on Ray and Kubernetes to validate autonomous vehicle behavior. Requires 8+ years experience and strong distributed systems background.
Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 3+ years shipping data-driven algorithms to production.
Lead optimization research applying large-scale constrained optimization and ML to real-time trading decisions. Requires 5-10+ years experience, strong math/ML background, production coding skills, and PhD-level coursework.
Design, build, and deploy production ML systems for recommendations, search, ranking, and advertising at internet scale. Own the full ML lifecycle from modeling to monitoring with strong cross-functional collaboration.