Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.
Develops ML perception algorithms and 4D world representations for autonomous vehicle stacks. Tests on real vehicles and collaborates with research teams. Requires 3+ years experience, C++/Python proficiency, and ML deployment expertise.
Develops and operates large-scale search engine infrastructure, including retrieval algorithms, indexing, and ML ranking models integrated with Grok AI. Requires experience with search systems, vector databases, and production ML in Python, Go, or Rust.
Leads a team of senior data scientists developing and deploying LLM-based ML products, defining technical roadmaps, overseeing model training/inference pipelines, and translating outputs into actionable insights for civic applications. Requires 6+ years ML experience and 1+ years leading teams.
Leads development of user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI orchestration expertise.
Builds scalable AI platform services for deploying and managing LLMs, integrates with providers like OpenAI and Anthropic, and applies AI to enhance product features. Requires deep backend expertise, distributed systems, and MLOps experience.
Build and maintain a platform for creating and deploying multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI backend engineering, evaluation frameworks, privacy, and search integration.
Senior AI Engineer builds and deploys user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI expertise.
Builds scalable AI platform backend for deploying and managing LLMs, integrates with providers like OpenAI/Anthropic/Google, and applies AI to enhance product features. Requires deep backend expertise, MLOps, cloud-native tech, and production AI experience.
Builds backend platform for multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI/ML, agent workflows, evaluation, privacy, and search integration.
Technical Lead owns strategy, roadmap, and execution for ML platform components, leading a small engineering team while contributing hands-on to scalable infrastructure. Requires 7+ years experience in ML infra, AWS, Python/Java, and prior leadership.
Optimizes LLM inference stack for speed, cost, and reliability using serving frameworks, quantization, and GPU tuning. Builds fine-tuning pipelines to accelerate AI team model development for production serving of millions of meetings.
Principal engineer architecting and building Redpanda's Agentic Data Plane, enabling AI agents to safely interact with enterprise data via streaming, query, and governance layers. Requires 10+ years building large-scale distributed systems and experience with agentic AI infrastructure.
Builds and productionizes AI platform components including LLMs, agentic frameworks, and core agent capabilities. Requires 3-6+ years backend experience with Python, Golang, AWS, Kubernetes, and AI-native product shipping.
Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.
Leads AI/ML strategy and teams for NIH biomedical research, evolving Polus platform, building petabyte-scale pipelines, and supporting federal proposals. Requires PhD and 8+ years AI/data science experience with leadership.
Designs evaluation pipelines, metrics, and user studies for speech generation and recognition models (ASR/TTS). Trains evaluation models, builds dashboards, and collaborates with ML, data, and product teams to improve performance on large-scale systems.
Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.
Develops and deploys deep learning models for autonomous vehicles and robots, managing datasets, training pipelines, and inference optimization. Requires 4+ years ML experience, expertise in PyTorch/TensorFlow, and advanced degree in CS/ML/Robotics.
Develops advanced post-training and reinforcement learning techniques like RLHF/DPO and reward modeling to enhance AI model reasoning, truthfulness, and real-world capabilities at xAI. Seeks passionate AI enthusiasts obsessed with truth-seeking models; prior experience preferred but not required.
Forward Deployed AI Engineer works directly with customers to identify pain points, builds and deploys AI-powered solutions and automations (50% coding), and drives business impact through rapid iteration. Requires Python/JavaScript proficiency, AI tool experience, and founder-like ownership in an in-person environment.
Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.
Early career software engineer builds and integrates AI agents and solutions using frameworks like LangChain and RAG pipelines to enhance childcare platform features. Requires bachelor's in CS/engineering, Python/JS proficiency, and AI/ML familiarity; hybrid onsite in SF office 3 days/week.
Build and optimize ML data pipelines and infrastructure for edge perception models and cloud data engines at Applied Intuition. Requires 5+ years experience with modern ML infrastructure, large-scale GPU jobs, microservices/databases, and US citizenship for DoD work.
Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.
Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.
Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.
Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.
Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.
Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.
Architects high-scale distributed systems and agentic AI for cybersecurity platform, processing massive data with Kafka, Spark/Flink, and Kubernetes. Requires 5-8 years backend experience in Java/Python/Go and expertise in agentic frameworks, RAG, and cloud infrastructure.
Develops and optimizes neural rendering systems using C++ and CUDA for real-time simulation, focusing on 3D Gaussian representations, GPU pipelines, and multi-threaded scene management. Requires 4+ years in neural graphics or related fields and a Bachelor's degree.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating with systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems, and measuring impact. Requires 4+ years experience with LLMs, agent frameworks, databases, and production AI systems.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
New grad AI Engineer building AI-powered features using LLMs and embeddings, prototyping end-to-end from UX to model integration, and improving evaluation frameworks. Requires CS bachelor's/master's pursuit, internship experience, and proficiency in Python/TypeScript/React.
Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.
Designs and owns architecture for production-grade AI analyst systems, including prompts, tools, context, evaluation, and safety. Partners with teams to build reliable AI capabilities for analytical workflows, emphasizing scalability and quality.
Leads AI Model LifeCycle team, building and managing fine-tuning, training pipelines for LLMs using techniques like PEFT, LoRA, RFT, and reinforcement learning. Requires 10+ years AI experience, advanced degree, hands-on LLM expertise, and team leadership skills.
Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.
Leads AI platform strategy and infrastructure for deploying AI features across Betterment's products, partnering with product, compliance, and engineering teams. Requires deep LLM expertise, fullstack experience with React/GraphQL/server languages, and production AI operations in a regulated environment.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.
Builds and scales ML compute platform on Kubernetes with Argo Workflows and Ray for distributed training, orchestration, and resource governance. Optimizes performance, debugs issues, and integrates tooling for ML teams at scale. Requires deep Kubernetes, systems, and programming expertise.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.
Builds AI agents for legal workflows, optimizing performance via prompt engineering, model selection, tools, and evaluations. Partners with PMs and customers to ship low-latency, high-quality agent systems using Python and LLM APIs. Requires 2-5 years experience.
Builds mission-critical training, data, and inference infrastructure for AI research on large world models. Optimizes performance, debugs distributed systems, and improves researcher velocity with 5+ years experience in ML systems and strong Python proficiency.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.
Develops ML perception algorithms and 4D world representations for autonomous vehicle stacks. Tests on real vehicles and collaborates with research teams. Requires 3+ years experience, C++/Python proficiency, and ML deployment expertise.
Develops and operates large-scale search engine infrastructure, including retrieval algorithms, indexing, and ML ranking models integrated with Grok AI. Requires experience with search systems, vector databases, and production ML in Python, Go, or Rust.
Leads a team of senior data scientists developing and deploying LLM-based ML products, defining technical roadmaps, overseeing model training/inference pipelines, and translating outputs into actionable insights for civic applications. Requires 6+ years ML experience and 1+ years leading teams.
Leads development of user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI orchestration expertise.
Builds scalable AI platform services for deploying and managing LLMs, integrates with providers like OpenAI and Anthropic, and applies AI to enhance product features. Requires deep backend expertise, distributed systems, and MLOps experience.
Build and maintain a platform for creating and deploying multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI backend engineering, evaluation frameworks, privacy, and search integration.
Senior AI Engineer builds and deploys user-facing AI features using LLMs and AI models, integrating them into production for scalable, personalized experiences. Requires 5+ years engineering experience with Python/JS, databases, and AI expertise.
Builds scalable AI platform backend for deploying and managing LLMs, integrates with providers like OpenAI/Anthropic/Google, and applies AI to enhance product features. Requires deep backend expertise, MLOps, cloud-native tech, and production AI experience.
Builds backend platform for multi-agent AI systems, integrating multiple LLMs and orchestration frameworks like LangGraph. Requires deep expertise in AI/ML, agent workflows, evaluation, privacy, and search integration.
Technical Lead owns strategy, roadmap, and execution for ML platform components, leading a small engineering team while contributing hands-on to scalable infrastructure. Requires 7+ years experience in ML infra, AWS, Python/Java, and prior leadership.
Optimizes LLM inference stack for speed, cost, and reliability using serving frameworks, quantization, and GPU tuning. Builds fine-tuning pipelines to accelerate AI team model development for production serving of millions of meetings.
Principal engineer architecting and building Redpanda's Agentic Data Plane, enabling AI agents to safely interact with enterprise data via streaming, query, and governance layers. Requires 10+ years building large-scale distributed systems and experience with agentic AI infrastructure.
Builds and productionizes AI platform components including LLMs, agentic frameworks, and core agent capabilities. Requires 3-6+ years backend experience with Python, Golang, AWS, Kubernetes, and AI-native product shipping.
Design domain-specific problems and datasets to evaluate advanced generative AI models, provide expert insights for improvement, and co-author research publications. Requires 5+ years software engineering or equivalent expertise with strong coding in Python, Java, Rust, etc.
Leads AI/ML strategy and teams for NIH biomedical research, evolving Polus platform, building petabyte-scale pipelines, and supporting federal proposals. Requires PhD and 8+ years AI/data science experience with leadership.
Designs evaluation pipelines, metrics, and user studies for speech generation and recognition models (ASR/TTS). Trains evaluation models, builds dashboards, and collaborates with ML, data, and product teams to improve performance on large-scale systems.
Designs and deploys LLM-based ML systems for personalized music recommendations, playlist generation, and session experiences at Spotify scale. Requires expertise in ML, NLP, generative AI, and large-scale data processing tools.
Develops and deploys deep learning models for autonomous vehicles and robots, managing datasets, training pipelines, and inference optimization. Requires 4+ years ML experience, expertise in PyTorch/TensorFlow, and advanced degree in CS/ML/Robotics.
Develops advanced post-training and reinforcement learning techniques like RLHF/DPO and reward modeling to enhance AI model reasoning, truthfulness, and real-world capabilities at xAI. Seeks passionate AI enthusiasts obsessed with truth-seeking models; prior experience preferred but not required.
Forward Deployed AI Engineer works directly with customers to identify pain points, builds and deploys AI-powered solutions and automations (50% coding), and drives business impact through rapid iteration. Requires Python/JavaScript proficiency, AI tool experience, and founder-like ownership in an in-person environment.
Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.
Early career software engineer builds and integrates AI agents and solutions using frameworks like LangChain and RAG pipelines to enhance childcare platform features. Requires bachelor's in CS/engineering, Python/JS proficiency, and AI/ML familiarity; hybrid onsite in SF office 3 days/week.
Build and optimize ML data pipelines and infrastructure for edge perception models and cloud data engines at Applied Intuition. Requires 5+ years experience with modern ML infrastructure, large-scale GPU jobs, microservices/databases, and US citizenship for DoD work.
Builds production-grade generative AI systems powering patient engagement, provider workflows, and clinical operations in mental healthcare. Requires 10+ years software engineering, deep Python/cloud expertise, and 2+ years scaling AI products with foundation models and LLM patterns.
Leads team building and scaling production ML pipelines for entity extraction and data classification across text, documents, and OCR. Requires 5+ years deploying ML systems, strong NLP expertise, Python proficiency, and translating research to production.
Lead development of deep learning models for medical imaging analysis to accelerate drug development and clinical trials. Requires PhD with 5+ years building production AI models for MRI/X-ray analysis.
Lead development of deep learning models for medical image analysis (MRI, X-ray) to accelerate clinical trials, create AI biomarkers, and integrate imaging AI into drug development workflows. Requires PhD and 5+ years building production-grade medical imaging AI.
Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.
Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.
Architects high-scale distributed systems and agentic AI for cybersecurity platform, processing massive data with Kafka, Spark/Flink, and Kubernetes. Requires 5-8 years backend experience in Java/Python/Go and expertise in agentic frameworks, RAG, and cloud infrastructure.
Develops and optimizes neural rendering systems using C++ and CUDA for real-time simulation, focusing on 3D Gaussian representations, GPU pipelines, and multi-threaded scene management. Requires 4+ years in neural graphics or related fields and a Bachelor's degree.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating with systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems, and measuring impact. Requires 4+ years experience with LLMs, agent frameworks, databases, and production AI systems.
Builds and deploys AI agents to automate internal workflows at Brex by embedding with teams, integrating systems and APIs, and measuring impact. Requires 4+ years experience shipping AI/automation with LLMs, agent frameworks, and databases.
New grad AI Engineer building AI-powered features using LLMs and embeddings, prototyping end-to-end from UX to model integration, and improving evaluation frameworks. Requires CS bachelor's/master's pursuit, internship experience, and proficiency in Python/TypeScript/React.
Designs and ships production AI systems including agentic workflows, RAG pipelines, and LLM integrations for an AI-native ERP platform serving finance teams. Requires 3+ years backend experience and 2+ years production AI with Python proficiency.
Builds and maintains ML infrastructure for training pipelines handling massive 3D data and real-time inference serving integrated with CAD software. Requires 3+ years experience with Python, PyTorch, ML orchestration tools, data versioning, and inference optimization.
Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.
Designs and owns architecture for production-grade AI analyst systems, including prompts, tools, context, evaluation, and safety. Partners with teams to build reliable AI capabilities for analytical workflows, emphasizing scalability and quality.
Leads AI Model LifeCycle team, building and managing fine-tuning, training pipelines for LLMs using techniques like PEFT, LoRA, RFT, and reinforcement learning. Requires 10+ years AI experience, advanced degree, hands-on LLM expertise, and team leadership skills.
Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.
Leads AI platform strategy and infrastructure for deploying AI features across Betterment's products, partnering with product, compliance, and engineering teams. Requires deep LLM expertise, fullstack experience with React/GraphQL/server languages, and production AI operations in a regulated environment.
Leads technical roadmap for ads content understanding, providing mentorship and hands-on ML work to build signals for content taxonomy, opinion mining, and product detection powering Reddit's ads. Requires 7+ years MLE experience with NLP/LLMs at scale and staff-level leadership.
Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.
Builds and scales ML compute platform on Kubernetes with Argo Workflows and Ray for distributed training, orchestration, and resource governance. Optimizes performance, debugs issues, and integrates tooling for ML teams at scale. Requires deep Kubernetes, systems, and programming expertise.
Build and own high-performance inference runtime for Voice AI models including STT, TTS, and voice agents. Design real-time systems with low tail latency, collaborate cross-team, and optimize model serving for production workloads. Requires CS degree and real-time systems experience.
Leads development of ML and graph-based systems for international eKYC and identity graph, focusing on entity resolution, anomaly detection, and regulatory compliance across global markets. Requires 6+ years ML experience, expertise in Python, SQL, Spark, and graph technologies like Neo4j and AWS Neptune.