Builds and scales Generative AI platform infrastructure using advanced ML techniques. Requires deep expertise in large-scale model training, deployment, and optimization on cloud platforms.
Senior Data Scientist develops ML models and features using device, network, and behavioral data for fraud prevention and identity verification. Requires 6+ years experience, Master's in quantitative field, Python/SQL proficiency, and production ML deployment expertise.
Designs threat models and experiments for agentic AI security risks, builds prototypes with fine-tuned models and analysis tools, and turns research into scalable product defenses. Requires MS/PhD in CS/ML, production coding skills, and security mindset.
Build and deploy scalable AI agents for customer support that handle complex interactions across industries like finance and healthcare. Requires 5+ years experience with Python and TypeScript, focusing on system reliability and model integration.
Builds and trains large-scale multimodal agentic models involving reasoning, planning, coding, and tool calling. Requires strong ML foundations, PyTorch expertise, and experience with distributed training on massive datasets.
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
Leads architecture of AI agents that convert natural language to production full-stack apps, driving multi-provider LLM strategies, tool integration, evaluation standards, and cross-team AI initiatives. Requires deep LLM expertise, prompt engineering, and scalable systems design.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Develops advanced Vision-Language-Action models for robotaxi scene understanding, detecting hazards and enabling safe driving. Leads data strategies, post-training of large models, and deployment using PyTorch and production ML pipelines. Requires MS/PhD in CS and deep learning expertise.
Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.
Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.
Designs and implements AI agents that transform natural language into production-ready full-stack applications using state-of-the-art LLMs. Integrates multiple LLM providers, orchestrates workflows, and continuously improves agent performance through data analysis and experimentation. Requires TypeScript proficiency and hands-on LLM experience.
Senior ML Engineer optimizes inference for voice AI models (STT, TTS, speech-to-speech) using engines like TensorRT-LLM and SGLang on GPUs. Requires 5+ years ML engineering with serving/inference expertise, Python/PyTorch proficiency, and production ML experience.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS/PhD in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles reasoning.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles problem-solving.
Conducts foundational research in spatial AI for residential construction, developing novel models using reinforcement learning, computer vision, LLMs, and 3D geometry. Requires 5+ years software engineering with 2+ years LLM experience, Master's degree, and expertise in PyTorch and RAG systems.
Integrates AI/ML research prototypes into production platform, bridging research and engineering teams. Builds orchestration for autonomous agents in homebuilding, works across Python backend and TypeScript/React frontend with 4+ years experience shipping AI features.
Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.
Build and validate an AI Chief of Staff prototype that automatically extracts, sorts, assigns, and follows up on meeting action items using LLMs, RAG, and agentic systems. Requires strong GenAI, NLP, Python backend, and productivity tool integration experience.
Software Engineer enabling production AI workloads on new hardware platforms through porting, benchmarking, stress testing, and performance optimization. Requires 5+ years in ML systems, distributed training, PyTorch, and RDMA/NCCL expertise.
Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.
Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Staff Data Scientist owns end-to-end development of ML and Generative AI solutions for the RiskOS fraud prevention platform, from data exploration and modeling to production deployment and monitoring. Requires 6+ years experience in data science with fraud/risk focus, Python/SQL proficiency, and GenAI expertise.
Develops and improves Codex AI agents for real-world software engineering tasks, focusing on performance, reliability, and integration with research and product teams. Requires strong Python, ML/LLM experience, and skills in evaluation, prompting, and debugging production failures.
Builds and owns production ML platform systems, turning AI research into reliable, scalable features. Partners with CTO on prototyping, observability, and end-to-end deployment of AI capabilities. Requires 3+ years experience with Python and modern ML frameworks; onsite in NYC.
Develops post-training pipelines, RLVR experiments, synthetic data generation, and large-scale LLM evaluation systems to enhance frontier language model performance in tool use, agentic behavior, and reasoning. Requires strong ML experience, coding skills, and research background.
Staff AI Engineer builds and owns quality systems for Cortex Code AI coding agents, including agent strategy, experimentation pipelines, failure analysis, and cross-team alignment. Requires 8+ years shipping AI/ML software, proficiency in Python/TypeScript/Go, and expertise in LLM evaluation harnesses.
Builds and owns end-to-end AI features for Cortex Code, including agentic workflows, context engineering, evaluations, and optimization. Requires 5+ years shipping production AI, proficiency in Python/TypeScript/Go, and bachelor's in CS or related.
Designs, develops, and optimizes core runtime infrastructure for distributed AI training and inference using PyTorch-based stack. Requires 8+ years in systems engineering, deep learning runtimes, Python/C++, and multi-node GPU workloads.
Designs, trains, deploys, and iterates on custom ML models powering search, matching, recommendations, and automations for a fintech platform. Requires strong Python, production ML experience, advanced techniques like fine-tuning and RL, and ability to handle ambiguous problems.
Build in-house tooling for post-training custom ML models using advanced techniques like RL and finetuning. Requires deep expertise in transformer training, PyTorch distributed systems, parallelism strategies, GPU performance optimization, and HPC platforms.
Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.
Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.
Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.
Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.
Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.
Builds and manages platforms for AI model lifecycles, focusing on fine-tuning, training pipelines, and reinforcement learning for LLMs. Requires 8+ years in AI, advanced degree, and hands-on experience with generative AI techniques.
Builds and maintains platforms for fine-tuning, training, and managing LLMs including reinforcement learning pipelines and multi-node orchestration. Requires 4+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Leads development of high-performance inference systems for large-scale AI models, optimizing execution paths, distributed GPU inference, and operators. Partners with research teams to enable efficient exploration of new architectures grounded in real scalability constraints.
Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.
Partners with business teams to identify AI automation opportunities, designs and ships production AI solutions using agentic frameworks and Python, ensures responsible AI practices, and drives adoption. Requires software engineering foundation, hands-on AI delivery, and business acumen.
Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.
Staff ML Engineer owns foundational model research and end-to-end quality improvements for clinical AI products like coding models, adaptive scribing, and chart understanding. Requires 5+ years ML experience with deep RL/deep learning expertise and production shipping track record.
Develop voice AI models for natural, low-latency spoken interactions on the Grok team. Handle data pipelines, model training with JAX/PyTorch, evaluations, and product integrations. Requires Python expertise, large-scale data processing, and distributed systems experience.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.
Builds and scales Generative AI platform infrastructure using advanced ML techniques. Requires deep expertise in large-scale model training, deployment, and optimization on cloud platforms.
Senior Data Scientist develops ML models and features using device, network, and behavioral data for fraud prevention and identity verification. Requires 6+ years experience, Master's in quantitative field, Python/SQL proficiency, and production ML deployment expertise.
Designs threat models and experiments for agentic AI security risks, builds prototypes with fine-tuned models and analysis tools, and turns research into scalable product defenses. Requires MS/PhD in CS/ML, production coding skills, and security mindset.
Build and deploy scalable AI agents for customer support that handle complex interactions across industries like finance and healthcare. Requires 5+ years experience with Python and TypeScript, focusing on system reliability and model integration.
Builds and trains large-scale multimodal agentic models involving reasoning, planning, coding, and tool calling. Requires strong ML foundations, PyTorch expertise, and experience with distributed training on massive datasets.
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
Leads architecture of AI agents that convert natural language to production full-stack apps, driving multi-provider LLM strategies, tool integration, evaluation standards, and cross-team AI initiatives. Requires deep LLM expertise, prompt engineering, and scalable systems design.
Leads development of agentic AI systems for public sector, including guardrails, data processing, and fleet orchestration for federal datasets. Mentors engineers, defines technical strategy, and communicates with stakeholders to ensure reliable, secure solutions.
Develops advanced Vision-Language-Action models for robotaxi scene understanding, detecting hazards and enabling safe driving. Leads data strategies, post-training of large models, and deployment using PyTorch and production ML pipelines. Requires MS/PhD in CS and deep learning expertise.
Leads development of Reddit's large-scale GenAI Platform, including LLM Gateway, RAG applications, and agentic AI workflows. Requires 5+ years in ML/AI platform engineering with expertise in cloud, Kubernetes, and MLOps practices.
Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.
Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.
Designs and implements AI agents that transform natural language into production-ready full-stack applications using state-of-the-art LLMs. Integrates multiple LLM providers, orchestrates workflows, and continuously improves agent performance through data analysis and experimentation. Requires TypeScript proficiency and hands-on LLM experience.
Senior ML Engineer optimizes inference for voice AI models (STT, TTS, speech-to-speech) using engines like TensorRT-LLM and SGLang on GPUs. Requires 5+ years ML engineering with serving/inference expertise, Python/PyTorch proficiency, and production ML experience.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS/PhD in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles reasoning.
Senior Data Scientist builds and deploys production ML and optimization models for Lyft's marketplace pricing, incentives, and resource allocation. Requires MS in quantitative field, 4+ years experience, Python/SQL proficiency, and first-principles problem-solving.
Conducts foundational research in spatial AI for residential construction, developing novel models using reinforcement learning, computer vision, LLMs, and 3D geometry. Requires 5+ years software engineering with 2+ years LLM experience, Master's degree, and expertise in PyTorch and RAG systems.
Integrates AI/ML research prototypes into production platform, bridging research and engineering teams. Builds orchestration for autonomous agents in homebuilding, works across Python backend and TypeScript/React frontend with 4+ years experience shipping AI features.
Builds and fine-tunes generative ML models for image, video, and text to create brand-aligned content. Collaborates with design, engineering, and product teams to prototype, evaluate, and deploy production APIs. Requires 5+ years ML experience with PyTorch and modern tooling.
Build and validate an AI Chief of Staff prototype that automatically extracts, sorts, assigns, and follows up on meeting action items using LLMs, RAG, and agentic systems. Requires strong GenAI, NLP, Python backend, and productivity tool integration experience.
Software Engineer enabling production AI workloads on new hardware platforms through porting, benchmarking, stress testing, and performance optimization. Requires 5+ years in ML systems, distributed training, PyTorch, and RDMA/NCCL expertise.
Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.
Develops systems for LLM interpretability and deterministic governance by working directly with model weights, activations, and architectures. Implements mechanistic interpretability techniques like activation patching and control vectors for enterprise policy enforcement in production.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Staff Data Scientist owns end-to-end development of ML and Generative AI solutions for the RiskOS fraud prevention platform, from data exploration and modeling to production deployment and monitoring. Requires 6+ years experience in data science with fraud/risk focus, Python/SQL proficiency, and GenAI expertise.
Develops and improves Codex AI agents for real-world software engineering tasks, focusing on performance, reliability, and integration with research and product teams. Requires strong Python, ML/LLM experience, and skills in evaluation, prompting, and debugging production failures.
Builds and owns production ML platform systems, turning AI research into reliable, scalable features. Partners with CTO on prototyping, observability, and end-to-end deployment of AI capabilities. Requires 3+ years experience with Python and modern ML frameworks; onsite in NYC.
Develops post-training pipelines, RLVR experiments, synthetic data generation, and large-scale LLM evaluation systems to enhance frontier language model performance in tool use, agentic behavior, and reasoning. Requires strong ML experience, coding skills, and research background.
Staff AI Engineer builds and owns quality systems for Cortex Code AI coding agents, including agent strategy, experimentation pipelines, failure analysis, and cross-team alignment. Requires 8+ years shipping AI/ML software, proficiency in Python/TypeScript/Go, and expertise in LLM evaluation harnesses.
Builds and owns end-to-end AI features for Cortex Code, including agentic workflows, context engineering, evaluations, and optimization. Requires 5+ years shipping production AI, proficiency in Python/TypeScript/Go, and bachelor's in CS or related.
Designs, develops, and optimizes core runtime infrastructure for distributed AI training and inference using PyTorch-based stack. Requires 8+ years in systems engineering, deep learning runtimes, Python/C++, and multi-node GPU workloads.
Designs, trains, deploys, and iterates on custom ML models powering search, matching, recommendations, and automations for a fintech platform. Requires strong Python, production ML experience, advanced techniques like fine-tuning and RL, and ability to handle ambiguous problems.
Build in-house tooling for post-training custom ML models using advanced techniques like RL and finetuning. Requires deep expertise in transformer training, PyTorch distributed systems, parallelism strategies, GPU performance optimization, and HPC platforms.
Senior AI Engineer builds, trains, deploys, and operates character AI agents at scale, managing LLM/SLM pipelines, social platform integrations, and feedback loops. Requires 5+ years in backend/ML engineering with production AI deployment experience.
Research Engineer on the Code RL team advancing AI models' ability to write efficient code for accelerators. Requires deep expertise in accelerators like CUDA/ROCm and ML frameworks like JAX/PyTorch, plus experience across kernels, model code, and distributed systems.
Develops and trains advanced AI models to tackle critical challenges in truth-seeking AI systems. Requires deep passion for building useful models and power user experience with AI; prior large-scale training experience preferred.
Develops and deploys production machine learning models for underwriting small business loans, focusing on risk assessment, pricing optimization, and automated systems. Requires strong statistical reasoning, ML expertise, engineering skills, and business acumen.
Develops multimodal AI models focused on image, video, and audio for high-fidelity generation, understanding, and agentic systems. Drives data curation, training, evaluation, and production integration of cutting-edge models.
Builds and manages platforms for AI model lifecycles, focusing on fine-tuning, training pipelines, and reinforcement learning for LLMs. Requires 8+ years in AI, advanced degree, and hands-on experience with generative AI techniques.
Builds and maintains platforms for fine-tuning, training, and managing LLMs including reinforcement learning pipelines and multi-node orchestration. Requires 4+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Leads development of high-performance inference systems for large-scale AI models, optimizing execution paths, distributed GPU inference, and operators. Partners with research teams to enable efficient exploration of new architectures grounded in real scalability constraints.
Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Build and optimize machine learning models to predict and enhance promotional performance for music tracks globally. Collaborate with data and ML teams to productionize scalable systems using Python, TensorFlow, PyTorch, and GCP.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance optimization, and distributed training pipelines. Requires 8+ years in ML infrastructure with expertise in Python, PyTorch, Kubernetes, Ray, and cloud tools.
Leads development of large-scale ML platforms, focusing on MLOps, graph ML infrastructure, performance tuning, and distributed training optimization. Requires 5+ years in ML infrastructure with expertise in PyTorch, Kubernetes, Ray, and cloud tools.
Partners with business teams to identify AI automation opportunities, designs and ships production AI solutions using agentic frameworks and Python, ensures responsible AI practices, and drives adoption. Requires software engineering foundation, hands-on AI delivery, and business acumen.
Deploys state-of-the-art ML models and fine-tunes LLMs in production to enhance platform integrity and safety against adversarial threats. Requires Master's/PhD, deep learning expertise, PyTorch/TensorFlow proficiency.
Staff ML Engineer owns foundational model research and end-to-end quality improvements for clinical AI products like coding models, adaptive scribing, and chart understanding. Requires 5+ years ML experience with deep RL/deep learning expertise and production shipping track record.
Develop voice AI models for natural, low-latency spoken interactions on the Grok team. Handle data pipelines, model training with JAX/PyTorch, evaluations, and product integrations. Requires Python expertise, large-scale data processing, and distributed systems experience.
Build and maintain ML evaluation benchmarks and metrics to identify model weaknesses on unstructured enterprise data like PDFs and spreadsheets. Collaborate with ML teams to drive improvements using Python tools and data infrastructure.