Research-oriented Machine Learning Scientist developing multimodal ML models (NLP, Speech, Computer Vision) for lifelike voice agents. Requires published papers in large-scale deep learning and familiarity with SOTA AI.
Conduct original research on LLM evaluation, routing optimization, and model behavior using billions of real-world generations. Design novel benchmarks, run large-scale empirical studies, and develop statistical foundations for intelligent routing. Requires MS/PhD, publication track record, deep stats/ML expertise, and Python/SQL skills.
Build high-quality, domain-specific benchmarks and infrastructure to rigorously evaluate frontier AI agents on realistic workflows. Requires strong Python/Docker/Linux skills, experience with evals or benchmarks, and a deep understanding of what makes a benchmark reliable and useful.
Lead AI evaluation for Figma's AI-powered products. Define quality metrics, build human + automated eval frameworks (rubrics, golden datasets, LLM-as-judge), manage a small team, and deliver decision-ready insights to Product, Design, and Engineering stakeholders.
Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.
Research Scientist advancing generative audio models (diffusion/flow matching) for music, focusing on vocal synthesis, post-training alignment (DPO/RLHF), or audio editing. Requires PhD, top publications, and PyTorch expertise to turn research into artist-first Spotify products.
Research Engineer building autonomous AI agents that review GitHub PRs, catch bugs, learn coding standards, and improve signal-to-noise for 7,000+ customers. Requires CS degree, research experience with ML/LMs/agents, strong programming, and product intuition.
Founding Research Scientist on Anthropic's Life Sciences team, designing and executing wet-lab experiments in molecular biology and biochemistry. Partners with computational biologists and uses Claude AI for hypothesis generation, experimental planning, and rapid iteration to drive AI-accelerated biological discoveries.
As the first dedicated education researcher at Anthropic's Education Labs, design and run mixed-methods studies on AI skill development, build/validate learning measures and instruments, and translate insights into product, curriculum, and model improvements. Requires research background in learning sciences or related fields, strong mixed-methods expertise, Python/LLM technical skills, and comfort with ambiguity.
Research intern role for ICML 2026 attendees interested in advancing machine learning and building reliable AI systems at Scale AI's data foundry. Requires strong ML research background and passion for generative AI, defense, and autonomous applications.
3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.
Lead applied research applying formal methods, automated reasoning, and AI (incl. LLMs) to improve correctness, reliability and velocity of Snowflake's cloud data platform and distributed systems. Translate ideas into production capabilities; requires PhD + 8+ years experience and track record of impact.
Researcher designing and running experiments on chain-of-thought monitorability in frontier LLMs to support scalable oversight and alignment. Requires strong empirical ML expertise with LLMs, deep interest in model behavior/alignment/interpretability, and ability to translate ambiguous questions into concrete experiments.
Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.
Researcher building frontier RL environments, evaluations, and training signals to steer OpenAI's largest agent training runs and measure model capabilities.
Build and deploy AI systems (LLMs, bandits) for monetization, balancing revenue and retention. Requires advanced ML degree or equivalent, applied large-model experience, and leadership skills.
Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.
Develop computational models of neural circuits and brain function. Requires Python, scientific computing libraries, and research experience in computational neuroscience. PhD or equivalent required.
Conduct technical and sociotechnical research at the intersection of AI and democratic institutions, focusing on legal alignment, institutional analysis, and AI applications to support civic life and accountable government. Requires deep AI expertise plus substantive knowledge in law, government, or public policy.
Build and deploy autonomous AI agents that navigate websites, execute workflows, and integrate with APIs and SaaS platforms using LLMs and browser automation tools.
Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.
Lead high-impact research on LLMs and agentic systems, driving post-training, reasoning, and evaluation to power enterprise AI deployments. Requires 7+ years ML research experience, PhD or equivalent, and strong publication record.
Conduct research on autonomous AI agents and reinforcement learning to build self-improving systems that reason, code, and learn at scale within the Snowflake Data Cloud. Requires a PhD (or equivalent) and strong expertise in RL and agentic AI.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Post-doctoral researcher conducting independent and collaborative AI/ML research focused on high-impact domains like medicine, finance, and law. Requires a recent or imminent PhD and publications in top venues.
Lead applied AI research practice delivering client outcomes through benchmarking, data strategy, and RL environments. Drive revenue impact, scope engagements, and lead cross-functional teams of researchers and engineers.
Graduate research intern (MS/PhD) building Customer World Models and proactive intelligence systems using representation learning, RL, and agentic decision-making. Own research end-to-end from framing to production deployment.
Build next-generation training infrastructure for physical AI models that perceive, reason, and act in structured environments. Lead development of representation models, latent world models, and policy optimization systems.
As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.
As a Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.
As a Principal Applied Scientist, you will define the technical direction for offer optimization and conversion modeling systems, working across teams to integrate models and optimization systems. This role involves structuring ambiguous problems, designing solutions, and providing technical oversight to ensure a coherent long-term vision.
Anthropic is seeking a Research Scientist to join their Life Sciences team. This role involves building and shipping agentic tools, designing evaluation benchmarks, and partnering with external users to improve model capabilities on scientific tasks.
As a Research Scientist II on the Video team, you will drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions, focusing on real-time video processing and deepfake detection.
As a Simulation Researcher/Engineer, you will design and build simulation environments for training general-purpose robot policies. This role involves working with generative models and classical physics simulation, developing differentiable pipelines, and driving asset generation.
As a Research Scientist on the World Models team, you will invent next-generation world model architectures with a focus on controllability and physical consistency, develop controllability mechanisms, and define and own metrics for physical fidelity and action-following.
Lead advanced research and development of cutting-edge AI models with deep expertise in Bayesian Learning and Distributional Reinforcement Learning. This role involves architecting and integrating foundational Bayesian frameworks with advanced architectures and large language models to redefine personalization and decision-making.
Seeking a Principal AI/ML Researcher/Engineer to invent, scale, and operationalize intelligent decisioning systems. This role focuses on integrating Large Reasoning Models with Knowledge Graphs and applying Reinforcement Learning for adaptive planning and control in multi-agent systems.
This is a research role focused on building models that continuously evolve with the world, with a focus on efficiency, gradient-free exploration, real-time learning, and interface design. The role requires strong programming skills and expertise in model optimization techniques.
Join the alignment research team to work on high-impact, under-resourced projects focused on AI alignment. This role requires strong ML research and Python skills to build, train, or evaluate deep learning models.
Voleon Securities is seeking an experienced and creative reinforcement learning researcher to join their ML research group. This role focuses on applying state-of-the-art AI/ML techniques to construct market-making strategies and optimize trading models.
As a Distinguished Architect, AI, you will be a technical multiplier for leading AI labs and AI-native companies, bridging their infrastructure aspirations with Datadog's technology roadmap. You will ensure the platform solves unique observability challenges for training and deploying foundational models at scale.
This role focuses on advancing how OpenAI builds and understands pretraining data at scale. The individual will treat data quality and curation as core research problems, developing new methods to select, combine, and transform data to improve model capabilities.
OpenAI is seeking a Research Engineer/Research Scientist to advance how the company prepares, curates, synthesizes, and understands multimodal data at scale. This role involves working on research and production problems related to synthesizing multimodal content, improving data pipelines, and building quality filters.
As a Staff Applied Scientist, you will define and build measurement systems for AI agent interfaces at Datadog, focusing on evaluation strategy, metric definition, and dataset creation to improve agent performance on customer workflows.
Lead Scale’s Policy Research Lab, setting strategy and managing research on AI safety, benchmarks, and frontier risk evaluations while collaborating with government institutes and academia. Requires 6+ years experience, strong technical/policy background, and proven team leadership.
Research-oriented Machine Learning Scientist developing multimodal ML models (NLP, Speech, Computer Vision) for lifelike voice agents. Requires published papers in large-scale deep learning and familiarity with SOTA AI.
Conduct original research on LLM evaluation, routing optimization, and model behavior using billions of real-world generations. Design novel benchmarks, run large-scale empirical studies, and develop statistical foundations for intelligent routing. Requires MS/PhD, publication track record, deep stats/ML expertise, and Python/SQL skills.
Build high-quality, domain-specific benchmarks and infrastructure to rigorously evaluate frontier AI agents on realistic workflows. Requires strong Python/Docker/Linux skills, experience with evals or benchmarks, and a deep understanding of what makes a benchmark reliable and useful.
Lead AI evaluation for Figma's AI-powered products. Define quality metrics, build human + automated eval frameworks (rubrics, golden datasets, LLM-as-judge), manage a small team, and deliver decision-ready insights to Product, Design, and Engineering stakeholders.
Predoctoral Young Investigator role on the AllenNLP team at Ai2, collaborating on open language models and NLP research. Ideal for recent bachelor's/master's graduates preparing for PhD programs, involving mentorship, cutting-edge research, and co-authoring papers.
Research Scientist advancing generative audio models (diffusion/flow matching) for music, focusing on vocal synthesis, post-training alignment (DPO/RLHF), or audio editing. Requires PhD, top publications, and PyTorch expertise to turn research into artist-first Spotify products.
Research Engineer building autonomous AI agents that review GitHub PRs, catch bugs, learn coding standards, and improve signal-to-noise for 7,000+ customers. Requires CS degree, research experience with ML/LMs/agents, strong programming, and product intuition.
Founding Research Scientist on Anthropic's Life Sciences team, designing and executing wet-lab experiments in molecular biology and biochemistry. Partners with computational biologists and uses Claude AI for hypothesis generation, experimental planning, and rapid iteration to drive AI-accelerated biological discoveries.
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As the first dedicated education researcher at Anthropic's Education Labs, design and run mixed-methods studies on AI skill development, build/validate learning measures and instruments, and translate insights into product, curriculum, and model improvements. Requires research background in learning sciences or related fields, strong mixed-methods expertise, Python/LLM technical skills, and comfort with ambiguity.
Research intern role for ICML 2026 attendees interested in advancing machine learning and building reliable AI systems at Scale AI's data foundry. Requires strong ML research background and passion for generative AI, defense, and autonomous applications.
3-month full-time research fellowship at Base Labs focused on open-source LLMs and frontier AI. Fellows receive 1:1 senior mentorship, $15k stipend, full support, and a path to full-time roles while producing publishable research from the San Francisco office.
Conduct hands-on post-training research on LLMs including RL, distillation, and routing models. Collaborate with customers, labs, and engineering to turn techniques into production products and shape the research agenda. Requires proven research background in post-training LLMs and ability to ship impactful work.
Design, implement, and evaluate novel ML models for computational pathology to predict patient outcomes. Requires PhD in ML, computer vision or statistics, strong publication record, and expertise in PyTorch.
Design, implement, and evaluate novel self-supervised foundation models for clinical multi-modal data and precision medicine. Requires PhD in ML/statistics, strong publication record in top venues, and expertise in PyTorch/deep learning.
Member of Technical Staff generating clinical insights from multi-modal AI models for precision medicine in oncology. Requires MD/PhD, lead authorship on high-impact papers, ML knowledge, and Python skills.
Research Scientist developing novel diffusion models and generative algorithms for Large Tabular Models (LTMs) on enterprise data. Requires PhD and strong track record in generative ML; experience with diffusion models and PyTorch/JAX preferred.
Lead applied research applying formal methods, automated reasoning, and AI (incl. LLMs) to improve correctness, reliability and velocity of Snowflake's cloud data platform and distributed systems. Translate ideas into production capabilities; requires PhD + 8+ years experience and track record of impact.
Researcher designing and running experiments on chain-of-thought monitorability in frontier LLMs to support scalable oversight and alignment. Requires strong empirical ML expertise with LLMs, deep interest in model behavior/alignment/interpretability, and ability to translate ambiguous questions into concrete experiments.
Develop post-training recipes and build enterprise data agents for autonomous planning, code generation, and multi-step workflows. Requires 2+ years applied research experience shipping prototypes, plus expertise in LLMs, agents, and RL.
Researcher building frontier RL environments, evaluations, and training signals to steer OpenAI's largest agent training runs and measure model capabilities.
Build and deploy AI systems (LLMs, bandits) for monetization, balancing revenue and retention. Requires advanced ML degree or equivalent, applied large-model experience, and leadership skills.
Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.
Develop computational models of neural circuits and brain function. Requires Python, scientific computing libraries, and research experience in computational neuroscience. PhD or equivalent required.
Conduct technical and sociotechnical research at the intersection of AI and democratic institutions, focusing on legal alignment, institutional analysis, and AI applications to support civic life and accountable government. Requires deep AI expertise plus substantive knowledge in law, government, or public policy.
Build and deploy autonomous AI agents that navigate websites, execute workflows, and integrate with APIs and SaaS platforms using LLMs and browser automation tools.
Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.
Lead high-impact research on LLMs and agentic systems, driving post-training, reasoning, and evaluation to power enterprise AI deployments. Requires 7+ years ML research experience, PhD or equivalent, and strong publication record.
Conduct research on autonomous AI agents and reinforcement learning to build self-improving systems that reason, code, and learn at scale within the Snowflake Data Cloud. Requires a PhD (or equivalent) and strong expertise in RL and agentic AI.
Research intern on the Agents team building and aligning frontier AI systems for complex agentic and scientific tasks. Focus on post-training methods, evaluation frameworks, self-learning, and scalable agent infrastructure.
Post-doctoral researcher conducting independent and collaborative AI/ML research focused on high-impact domains like medicine, finance, and law. Requires a recent or imminent PhD and publications in top venues.
Lead applied AI research practice delivering client outcomes through benchmarking, data strategy, and RL environments. Drive revenue impact, scope engagements, and lead cross-functional teams of researchers and engineers.
Graduate research intern (MS/PhD) building Customer World Models and proactive intelligence systems using representation learning, RL, and agentic decision-making. Own research end-to-end from framing to production deployment.
Build next-generation training infrastructure for physical AI models that perceive, reason, and act in structured environments. Lead development of representation models, latent world models, and policy optimization systems.
As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.
As a Senior Research Scientist on the Video team, you will drive research initiatives and translate advanced computer vision and deepfake detection models into scalable enterprise solutions. You will focus on audio-visual deepfake detection, synthetic media identification, and real-time video processing.
As a Principal Applied Scientist, you will define the technical direction for offer optimization and conversion modeling systems, working across teams to integrate models and optimization systems. This role involves structuring ambiguous problems, designing solutions, and providing technical oversight to ensure a coherent long-term vision.
Anthropic is seeking a Research Scientist to join their Life Sciences team. This role involves building and shipping agentic tools, designing evaluation benchmarks, and partnering with external users to improve model capabilities on scientific tasks.
As a Research Scientist II on the Video team, you will drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions, focusing on real-time video processing and deepfake detection.
As a Simulation Researcher/Engineer, you will design and build simulation environments for training general-purpose robot policies. This role involves working with generative models and classical physics simulation, developing differentiable pipelines, and driving asset generation.
As a Research Scientist on the World Models team, you will invent next-generation world model architectures with a focus on controllability and physical consistency, develop controllability mechanisms, and define and own metrics for physical fidelity and action-following.
Lead advanced research and development of cutting-edge AI models with deep expertise in Bayesian Learning and Distributional Reinforcement Learning. This role involves architecting and integrating foundational Bayesian frameworks with advanced architectures and large language models to redefine personalization and decision-making.
Seeking a Principal AI/ML Researcher/Engineer to invent, scale, and operationalize intelligent decisioning systems. This role focuses on integrating Large Reasoning Models with Knowledge Graphs and applying Reinforcement Learning for adaptive planning and control in multi-agent systems.
This is a research role focused on building models that continuously evolve with the world, with a focus on efficiency, gradient-free exploration, real-time learning, and interface design. The role requires strong programming skills and expertise in model optimization techniques.
Join the alignment research team to work on high-impact, under-resourced projects focused on AI alignment. This role requires strong ML research and Python skills to build, train, or evaluate deep learning models.
Voleon Securities is seeking an experienced and creative reinforcement learning researcher to join their ML research group. This role focuses on applying state-of-the-art AI/ML techniques to construct market-making strategies and optimize trading models.
As a Distinguished Architect, AI, you will be a technical multiplier for leading AI labs and AI-native companies, bridging their infrastructure aspirations with Datadog's technology roadmap. You will ensure the platform solves unique observability challenges for training and deploying foundational models at scale.
This role focuses on advancing how OpenAI builds and understands pretraining data at scale. The individual will treat data quality and curation as core research problems, developing new methods to select, combine, and transform data to improve model capabilities.
OpenAI is seeking a Research Engineer/Research Scientist to advance how the company prepares, curates, synthesizes, and understands multimodal data at scale. This role involves working on research and production problems related to synthesizing multimodal content, improving data pipelines, and building quality filters.
As a Staff Applied Scientist, you will define and build measurement systems for AI agent interfaces at Datadog, focusing on evaluation strategy, metric definition, and dataset creation to improve agent performance on customer workflows.
Lead Scale’s Policy Research Lab, setting strategy and managing research on AI safety, benchmarks, and frontier risk evaluations while collaborating with government institutes and academia. Requires 6+ years experience, strong technical/policy background, and proven team leadership.