Senior Applied AI Engineer building the core intelligence layer for Roger, an AI platform for home health clinicians. Responsibilities include training/fine-tuning LLMs on proprietary clinical data, building rigorous eval and monitoring systems, and shipping reliable agentic LLM workflows that improve patient care.
Develop and integrate real-time AI/ML perception algorithms and sensor fusion software for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors, ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Senior AI Builder responsible for designing and shipping production AI agents, agentic workflows, evaluation harnesses, and reusable AI tooling that transform EarnIn's product development lifecycle. Requires 4+ years software engineering experience with strong LLM/agent expertise.
Principal engineer on OpenAI's Codex Cyber team building AI-powered security products for trusted defenders. Define roadmaps, shape model training and safeguards, build evaluations for cyber capabilities and risks, and translate frontier research into production tools while collaborating across product, research, safety, and external partners.
Senior ML Engineer optimizing and productionizing LLMs and other models on Cloudflare's global serverless inference platform. Focus on inference performance, benchmarking, evaluation, and deployment at scale across heterogeneous GPUs and accelerators.
Lead Ideogram's open-source ML efforts by converting internal research into high-quality public models, code, and demos while growing the developer community through blogs, conferences, and GitHub/Hugging Face maintenance. Requires advanced ML research experience, strong Python/PyTorch skills, and a passion for open science.
Build and run evaluations to measure Claude's capabilities, safety, and performance. Design metrics, implement scalable distributed eval infrastructure and dashboards, debug training runs, and partner with researchers to characterize and improve AI systems.
Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.
Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.
Build high-performance Rust backend and core AI platform powering an AI-native trading copilot with streaming, low-latency tools, safe trading actions, and robust APIs. Requires 8+ years experience in systems programming, production services, and architecture.
Principal State Estimation Engineer developing advanced sensor fusion, inertial navigation, and real-time state estimation algorithms for autonomous UAVs in GPS-denied environments. Requires 12+ years experience with Kalman filters, C++, and shipping navigation products.
Build and deploy production-grade real-time voice and audio AI systems, including intelligent voice agents, speech-driven workflows, and LLM-powered conversational experiences for financial operations and collections at Stuut. Requires 5+ years software engineering with 2+ years in applied speech/audio AI, experience shipping customer-facing voice systems, and fluency in Python and ML frameworks.
Senior Agent Engineer owning multi-step agentic systems, model selection/fine-tuning, retrieval, evaluations, and cost/latency optimization for Sourcegraph's code intelligence products like Deep Search. Requires staff-level experience building reliable production AI agents blending software engineering, ML, and statistics.
Lead architectural design and implementation of production-grade multi-agent frameworks, LLM orchestration, and autonomous AI agent systems from the ground up at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building agentic systems, startup mentality, and deep proficiency with AI tooling.
Lead architectural design and implementation of next-generation AI agent frameworks, multi-agent orchestration, and LLM workflows at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building production agentic systems, startup mentality, and deep proficiency with AI coding tools.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Research scientist role focused on planning and executing lab experiments to improve Carbon's 3D printing processes and material properties. Requires bachelor's in chemistry/materials science plus hands-on lab experience with materials; involves scaling processes with production partners and presenting technical findings.
Lead technical vision for Pinterest's Ads Conversion Core Modeling team. Build state-of-the-art large-scale DNN models for user action prediction, mine multi-modal signals for intent understanding, and mentor engineers while leveraging AI tools to accelerate development.
Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.
Founding ML Operations Engineer building scalable training, inference, and evaluation pipelines for proprietary VLMs and LLMs in healthcare. Requires 5+ years production ML infrastructure experience, strong Python/TypeScript skills, and ownership in a fast-paced startup.
Research Engineer building scalable ML systems and pipelines for Large Tabular Models on enterprise structured data. Implement algorithms, optimize training/inference, develop benchmarks, and translate research ideas (led by Stanford Prof. Andrea Montanari) into production.
Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Build and productionize vision-language models for document understanding at LlamaIndex. Focus on training, fine-tuning, synthetic data, benchmarking, and turning research prototypes into accurate, low-latency production systems for real-world PDFs, tables, and enterprise docs. Requires 3+ years ML engineering/applied research experience with strong PyTorch skills.
Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Senior Machine Learning Engineer building and deploying scalable production ML systems for personalized health insights from wearable physiological data. Requires 4+ years ML engineering experience, strong Python and backend skills, and experience with inference at scale.
Staff ML Engineer on Pinterest's Merchant team building and leading LLM-first systems for merchant quality, integrity, affinity modeling, and shopping relevance. First ML engineering hire; sets technical direction, evaluation standards, and production practices for agentic workflows and discovery surfaces.
Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.
Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.
Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.
Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.
Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.
Build and optimize the high-performance inference platform serving Grok at massive scale. Design distributed serving infrastructure, low-level GPU optimizations, quantization, speculative decoding, and CI/CD for production reliability and low latency.
Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.
Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.
Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.
Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.
Build and operate scalable AWS cloud infrastructure, LLM platforms, RAG systems, and data pipelines for an AI aviation platform. Requires strong AWS and LLM production experience; hybrid in San Carlos, CA.
Staff ML Engineer owning end-to-end lifecycle for enterprise AI at Rippling: design novel architectures (LLMs, RAG, RLHF), build evaluation and self-improving systems, and ship production ML leveraging proprietary data graph. Requires 8+ years engineering with 5+ in ML.
Senior Machine Learning Engineer building and productionizing scalable ML systems for personalized health metrics from wearable physiological data. Requires 4+ years experience deploying inference at scale, strong Python and backend skills, and collaboration with data scientists on health features.
Engineer optimizing RL inference stack for workloads from ablations to production training. Requires experience with large-scale distributed systems, LLM inference, and proficiency in Python/C++/Rust with PyTorch/JAX/CUDA.
Build and scale research infrastructure and distributed systems at Anthropic to accelerate ML research workflows. Independently lead complex multi-month projects, drive cross-org alignment, and partner with researchers in a fast-evolving, ambiguous environment.
AI Builder Intern supporting Global Customer Services by designing, developing, and deploying AI prototypes (LLMs, RAG) to automate workflows, integrate via APIs, and structure post-sales data. Requires CS/related degree pursuit, basic programming, AI experience, and strong communication skills.
Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.
Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.
Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.
Senior Applied AI Engineer building the core intelligence layer for Roger, an AI platform for home health clinicians. Responsibilities include training/fine-tuning LLMs on proprietary clinical data, building rigorous eval and monitoring systems, and shipping reliable agentic LLM workflows that improve patient care.
Develop and integrate real-time AI/ML perception algorithms and sensor fusion software for autonomous vehicles across land, air, sea, and space domains. Requires MS/PhD or 5+ years experience with multi-modal sensors, ML deployment, and Linux/Docker; US citizenship and security clearance eligibility mandatory.
Senior AI Builder responsible for designing and shipping production AI agents, agentic workflows, evaluation harnesses, and reusable AI tooling that transform EarnIn's product development lifecycle. Requires 4+ years software engineering experience with strong LLM/agent expertise.
Principal engineer on OpenAI's Codex Cyber team building AI-powered security products for trusted defenders. Define roadmaps, shape model training and safeguards, build evaluations for cyber capabilities and risks, and translate frontier research into production tools while collaborating across product, research, safety, and external partners.
Senior ML Engineer optimizing and productionizing LLMs and other models on Cloudflare's global serverless inference platform. Focus on inference performance, benchmarking, evaluation, and deployment at scale across heterogeneous GPUs and accelerators.
Lead Ideogram's open-source ML efforts by converting internal research into high-quality public models, code, and demos while growing the developer community through blogs, conferences, and GitHub/Hugging Face maintenance. Requires advanced ML research experience, strong Python/PyTorch skills, and a passion for open science.
Build and run evaluations to measure Claude's capabilities, safety, and performance. Design metrics, implement scalable distributed eval infrastructure and dashboards, debug training runs, and partner with researchers to characterize and improve AI systems.
Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.
Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.
Build high-performance Rust backend and core AI platform powering an AI-native trading copilot with streaming, low-latency tools, safe trading actions, and robust APIs. Requires 8+ years experience in systems programming, production services, and architecture.
Principal State Estimation Engineer developing advanced sensor fusion, inertial navigation, and real-time state estimation algorithms for autonomous UAVs in GPS-denied environments. Requires 12+ years experience with Kalman filters, C++, and shipping navigation products.
Build and deploy production-grade real-time voice and audio AI systems, including intelligent voice agents, speech-driven workflows, and LLM-powered conversational experiences for financial operations and collections at Stuut. Requires 5+ years software engineering with 2+ years in applied speech/audio AI, experience shipping customer-facing voice systems, and fluency in Python and ML frameworks.
Senior Agent Engineer owning multi-step agentic systems, model selection/fine-tuning, retrieval, evaluations, and cost/latency optimization for Sourcegraph's code intelligence products like Deep Search. Requires staff-level experience building reliable production AI agents blending software engineering, ML, and statistics.
Lead architectural design and implementation of production-grade multi-agent frameworks, LLM orchestration, and autonomous AI agent systems from the ground up at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building agentic systems, startup mentality, and deep proficiency with AI tooling.
Lead architectural design and implementation of next-generation AI agent frameworks, multi-agent orchestration, and LLM workflows at Mozilla's New Products incubator. Requires 7+ years software engineering experience including 2+ years building production agentic systems, startup mentality, and deep proficiency with AI coding tools.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Research scientist role focused on planning and executing lab experiments to improve Carbon's 3D printing processes and material properties. Requires bachelor's in chemistry/materials science plus hands-on lab experience with materials; involves scaling processes with production partners and presenting technical findings.
Lead technical vision for Pinterest's Ads Conversion Core Modeling team. Build state-of-the-art large-scale DNN models for user action prediction, mine multi-modal signals for intent understanding, and mentor engineers while leveraging AI tools to accelerate development.
Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.
Founding ML Operations Engineer building scalable training, inference, and evaluation pipelines for proprietary VLMs and LLMs in healthcare. Requires 5+ years production ML infrastructure experience, strong Python/TypeScript skills, and ownership in a fast-paced startup.
Research Engineer building scalable ML systems and pipelines for Large Tabular Models on enterprise structured data. Implement algorithms, optimize training/inference, develop benchmarks, and translate research ideas (led by Stanford Prof. Andrea Montanari) into production.
Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.
Research Engineer conducting open-ended ML research, reproducing SOTA papers, building/scaling distributed training infrastructure on GPU clusters, and bridging research ideas into production code. Requires strong programming, ML frameworks, distributed systems experience, and math foundations; Master's/PhD preferred.
Build and productionize vision-language models for document understanding at LlamaIndex. Focus on training, fine-tuning, synthetic data, benchmarking, and turning research prototypes into accurate, low-latency production systems for real-world PDFs, tables, and enterprise docs. Requires 3+ years ML engineering/applied research experience with strong PyTorch skills.
Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Senior technical leader building, productionizing and operating large-scale ML models and Agentic AI systems to fight fraud, ensure safety and build trust across Airbnb's platform. Requires 12+ years applied ML experience and deep expertise in LLMs/GenAI.
Senior Machine Learning Engineer building and deploying scalable production ML systems for personalized health insights from wearable physiological data. Requires 4+ years ML engineering experience, strong Python and backend skills, and experience with inference at scale.
Staff ML Engineer on Pinterest's Merchant team building and leading LLM-first systems for merchant quality, integrity, affinity modeling, and shopping relevance. First ML engineering hire; sets technical direction, evaluation standards, and production practices for agentic workflows and discovery surfaces.
Generalist Research Engineer working across Exa's search and retrieval stack including crawling, parsing, ML performance, and retrieval algorithms to improve search quality and performance for customers.
Scientist building ensemble-aware protein representations and ML models that integrate dynamic structural data with PLMs, ligands, and functional info to advance dynamic structural biology. Requires PhD and experience with large bioinformatic pipelines.
Research Engineers at Distyl build and productionize post-training techniques (fine-tuning, RLHF, reward models, evals) to improve reliability and behavior of compound AI systems for enterprise customers. Requires strong applied ML experimentation skills and ownership of real-world outcomes.
Research Engineers at Distyl build and productionize reliable agentic AI systems and compound architectures for enterprise workflows. They design agents, develop evaluation frameworks, run experiments on reasoning and failure modes, and integrate into customer environments.
Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.
Build and optimize the high-performance inference platform serving Grok at massive scale. Design distributed serving infrastructure, low-level GPU optimizations, quantization, speculative decoding, and CI/CD for production reliability and low latency.
Be the first dedicated owner of Confido's ML platform, owning end-to-end ML pipelines, infrastructure for training/inference/agentic workloads, and providing reproducible environments for the AI/ML team in a fast-growing CPG AI startup.
Early-career engineer building and productionizing AI-powered features at Notion using LLMs and embeddings. Less than 2 years experience; strong fundamentals in algorithms, data structures, and distributed systems required.
Research Engineer building platforms to customize open-source LLMs via fine-tuning, RL, and evaluation. Focus on integrating post-training with inference engines (vLLM, SGLang, TensorRT-LLM), optimizing for RL workloads, and ensuring production reliability. Requires 2+ years ML production experience and strong Python/Go skills.
Machine Learning Engineer building the Enterprise Brain - a proactive AI system for task detection, automation, reasoning, planning and personalization using LLMs, RL, fine-tuning, and advanced ranking on top of enterprise and personal knowledge graphs. Requires 3+ years ML experience, strong production ML skills, and expertise in evaluation/benchmarking.
Build and operate scalable AWS cloud infrastructure, LLM platforms, RAG systems, and data pipelines for an AI aviation platform. Requires strong AWS and LLM production experience; hybrid in San Carlos, CA.
Staff ML Engineer owning end-to-end lifecycle for enterprise AI at Rippling: design novel architectures (LLMs, RAG, RLHF), build evaluation and self-improving systems, and ship production ML leveraging proprietary data graph. Requires 8+ years engineering with 5+ in ML.
Senior Machine Learning Engineer building and productionizing scalable ML systems for personalized health metrics from wearable physiological data. Requires 4+ years experience deploying inference at scale, strong Python and backend skills, and collaboration with data scientists on health features.
Engineer optimizing RL inference stack for workloads from ablations to production training. Requires experience with large-scale distributed systems, LLM inference, and proficiency in Python/C++/Rust with PyTorch/JAX/CUDA.
Build and scale research infrastructure and distributed systems at Anthropic to accelerate ML research workflows. Independently lead complex multi-month projects, drive cross-org alignment, and partner with researchers in a fast-evolving, ambiguous environment.
AI Builder Intern supporting Global Customer Services by designing, developing, and deploying AI prototypes (LLMs, RAG) to automate workflows, integrate via APIs, and structure post-sales data. Requires CS/related degree pursuit, basic programming, AI experience, and strong communication skills.
Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.
Build and maintain scalable cloud-native AI/ML infrastructure and MLOps pipelines on Databricks, AWS, and related tools. Requires 7+ years experience, expert Python/TypeScript skills, and production MLFlow/AWS expertise to support reliable AI model deployment and RAG use cases.
Member of Technical Staff conducting hands-on LLM inference research at Modal. Own end-to-end bets on techniques like speculative decoding, quantization, KV-cache management, and disaggregation to improve cost per token and tail latency on production workloads. Requires strong LLM serving stack expertise and a track record shipping research or systems.
Research Engineer developing novel evaluation frameworks and training strategies for AI systems in life sciences and biology. Requires experience training/evaluating LLMs, Python/ML proficiency, and data pipeline expertise; biology background preferred but not required.
Research Engineer implementing novel ML models for clinical AI, focusing on self-supervised learning, survival analysis, multi-modal data, causality, and interpretability to predict patient outcomes in precision medicine. Requires strong Python/PyTorch skills, deep learning experience, and statistics foundations; publications are a plus.