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.
Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.
Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.
Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.
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.
Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
Staff ML Engineer leading development of core bidding, ranking, and yield optimization systems for programmatic ads across exchanges. Owns end-to-end ML pipelines and drives technical direction for marketplace algorithms.
Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.
Lead development of models and algorithms powering real-time voice agents, focusing on speech understanding, naturalness, and production deployment. Requires 5+ years in AI/ML, LLM production experience, and strong Python/ML skills.
Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.
Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.
Senior Applied AI Engineer focused on helping customers build AI apps with Redis (80% customer engineering, 20% development). Requires 5+ years Python experience and 2+ years in ML systems.
Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Build and operate Chime's ML platform on AWS, including distributed training systems, feature stores, data pipelines, and CI/CD tooling. Partner with ML teams to improve reliability, observability, and developer experience for production models.
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.
Builds core agent harness for Codex AI agents, enabling safe tool use, code execution, and long-horizon tasks in production. Designs systems for sandboxing, evaluation, observability, and performance optimization across ML workflows and infrastructure.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Leads the design, build, and operation of AI and data platform for autonomy systems, managing training, simulation, data pipelines, MLOps, and deployment across on-premise, cloud, and edge environments. Requires deep expertise in scalable ML infrastructure and compute strategy.
Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Leads technical architecture and cross-functional engineering pods to build scalable AI agent infrastructure for enterprise automation, enabling self-improving systems that power Rippling's AI surfaces. Requires 8+ years software engineering with platform expertise and hands-on AI experience preferred.
Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Builds evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with Go/Python, LLM eval experience, and analytical rigor for backend ML infrastructure.
As a Senior AI Engineer, you will develop and scale AI agent and chat capabilities, build infrastructure for real-time AI interactions, and prototype new AI applications. This role involves significant impact on product development within a cross-functional team.
Designs, builds, and scales AI platform infrastructure including agent orchestration, RAG, eval tooling, and model serving for internal teams. Requires 12+ years AI/ML experience, expertise in LLMs/NLP, Python proficiency, and ML frameworks like PyTorch.
Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.
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.
Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.
Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.
MS student intern implementing and optimizing ONNX operator kernels for a GPNPU architecture, leveraging C/C++/Python and performance profiling skills.
Internship focused on model pruning for neural network inference optimization on Quadric's GPNPU architecture. MS student role requiring Python, PyTorch pruning experience, and quantization knowledge.
Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.
Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.
Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.
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.
Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.
Senior ML Engineer focused on building, deploying, and monitoring credit underwriting models. Requires 6+ years production ML experience, fintech lending knowledge, and Python/Spark proficiency.
Own end-to-end computer vision pipelines for extracting structured inventory data from clinical images using object detection, multimodal LLMs, and OCR. Requires 5+ years of CV experience and strong Python backend skills.
Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.
Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.
Experienced AI/ML engineer building and deploying LLM/NLU systems to extract and evaluate clinical data from medical documents for healthcare payers. Focus on reliable, accurate outputs and seamless integration with backend platforms.
Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.
Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.
Forward-deployed AI Engineer embedding with teams to build production agentic workflows, LLM applications, RAG pipelines, and MCP servers that automate work across Engineering, Operations, and Finance. Own end-to-end delivery from discovery through production monitoring on GCP.
Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.
Staff ML Engineer leading development of core bidding, ranking, and yield optimization systems for programmatic ads across exchanges. Owns end-to-end ML pipelines and drives technical direction for marketplace algorithms.
Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.
Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.
Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.
Lead development of models and algorithms powering real-time voice agents, focusing on speech understanding, naturalness, and production deployment. Requires 5+ years in AI/ML, LLM production experience, and strong Python/ML skills.
Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.
Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.
Senior Applied AI Engineer focused on helping customers build AI apps with Redis (80% customer engineering, 20% development). Requires 5+ years Python experience and 2+ years in ML systems.
Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.
Lead Reddit’s Safety ML organization to build and deploy large-scale ML systems that detect harmful content and protect users. Drive strategy, manage teams of 25+ ML scientists and engineers, and partner cross-functionally to advance responsible AI for platform safety.
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Build and operate Chime's ML platform on AWS, including distributed training systems, feature stores, data pipelines, and CI/CD tooling. Partner with ML teams to improve reliability, observability, and developer experience for production models.
Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.
Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.
Builds core agent harness for Codex AI agents, enabling safe tool use, code execution, and long-horizon tasks in production. Designs systems for sandboxing, evaluation, observability, and performance optimization across ML workflows and infrastructure.
Designs and deploys production agentic AI systems using LangGraph for automating KYB, underwriting, and risk decisions in fintech. Requires 5+ years engineering with 2+ years in production LLMs/agents, strong RAG/evals/MLOps, Python/TypeScript.
Owns AI foundation for generative AI in mental healthcare, architecting production-grade systems like RAG and agentic loops while ensuring technical excellence and safety in regulated environments. Requires 10+ years software engineering, AI/ML expertise, and cloud/distributed systems experience.
Leads the design, build, and operation of AI and data platform for autonomy systems, managing training, simulation, data pipelines, MLOps, and deployment across on-premise, cloud, and edge environments. Requires deep expertise in scalable ML infrastructure and compute strategy.
Research Engineer builds ML infrastructure and agentic systems to accelerate scientific discovery in biology, neuroscience, and more. Requires 2+ years experience with Python, PyTorch/JAX/TF, cloud resources, and deep learning for LLM/agent research at Ai2.
Builds, deploys, and maintains ML models to detect phishing, sensitive data, and threats in emails/drives. Requires 8+ years ML experience, strong data pipeline skills, and familiarity with LLMs/generative AI.
Leads technical architecture and cross-functional engineering pods to build scalable AI agent infrastructure for enterprise automation, enabling self-improving systems that power Rippling's AI surfaces. Requires 8+ years software engineering with platform expertise and hands-on AI experience preferred.
Designs, builds, and maintains LLM-based AI systems, data pipelines, and automation tools to transform business processes. Requires 6+ years software engineering with 2+ years AI/LLM production experience, strong Python, and data engineering skills.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
ML intern on the Machine Learning team developing and shipping production ML models and pipelines. Requires current enrollment in an M.Sc. or Ph.D. program and strong Python/PyTorch backend skills.
Builds and maintains ML training and inference infrastructure, scales distributed workloads across GPU clusters, and develops tooling for observability and fast iteration. Requires strong Python, systems engineering, Kubernetes, and distributed training experience.
Builds evaluation pipelines, LLM judges, and observability tools to measure and improve AI assistant quality. Requires 2+ years software engineering with Go/Python, LLM eval experience, and analytical rigor for backend ML infrastructure.
As a Senior AI Engineer, you will develop and scale AI agent and chat capabilities, build infrastructure for real-time AI interactions, and prototype new AI applications. This role involves significant impact on product development within a cross-functional team.
Designs, builds, and scales AI platform infrastructure including agent orchestration, RAG, eval tooling, and model serving for internal teams. Requires 12+ years AI/ML experience, expertise in LLMs/NLP, Python proficiency, and ML frameworks like PyTorch.
Builds, scales, and operates production-grade ML systems for real-time personalization on Attentive's platform. Requires 6+ years experience with Python, PyTorch/TensorFlow, and scalable ML pipelines in a fast-paced environment.