Data Scientist PlanIT GroupData ScientistReston, VAExpert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports. • Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
Senior Data Scientist MicrosoftSenior Data ScientistHouston, TX$119,800–$234,700 / yearOR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results). OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results.
NewData Scientist (Mid-Level) USAAData Scientist (Mid-Level)Colorado Springs, CO$114,080–$218,030 / year4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. As a dedicated Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive actionable business insights and business value through automation, revenue generation, and the reduction of expenses and risk.
Principal Data Scientist WeyerhaeuserPrincipal Data ScientistSeattle, WA$131,082–$196,766 / yearWe are seeking an experienced Principal Data Scientist to provide technical leadership and passionate about applying machine learning, statistics, experimentation, and optimization techniques to solve complex business problems across manufacturing, operations reliability, supply chain, and product quality domains. For over 125 years, our Weyerhaeuser team has been making a difference in the world – from the seedlings we plant, to the forests and trees we nurture, we ensure every acre is managed with diligence, patience and pride.
Senior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI Required LeidosSenior Data Scientist (Machine Learning & Geospatial Analytics) – TS/SCI RequiredWoodbridge, VA$92,300–$166,850The analyst will work closely with Intelligence Community (IC) partners, geographic names experts, and multi-INT analysts to ensure imagery-derived assessments are geospatially precise, linguistically accurate, and operationally relevant. Bachelor’s degree and 12+ years of relevant experience, or Master’s degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field.
Principal AI Research Scientist, Research Director - AI Scaling DataBricksPrincipal AI Research Scientist, Research Director - AI ScalingMountain View, CA$270,000–$340,000 / yearAs a Principal Research Scientist- AI Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures.
AI Research Scientist - AI BioDesign Allen InstituteAI Research Scientist - AI BioDesignSeattle, WA$146,600–$183,250 / yearRather than primarily applying established techniques, this role focuses on methodological innovation – designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks. Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods.
Data Scientist / AI Scientist – AI for Aging Research – Zhou lab Buck InstituteData Scientist / AI Scientist – AI for Aging Research – Zhou labNovato, CAFull timeThis individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
AI Research Scientist, Hardware AI Systems Advanced Micro Devices, IncAI Research Scientist, Hardware AI SystemsSanta Clara, CaliforniaWe are hiring a AI Research Scientist, Hardware AI Systems , to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. You will work on metareasoning (when to call which tool or simulator), representation learning across flows (RTL, verification, physical design), and learning under high- or mixed-latency rewards typical of silicon signoff.
AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning Advanced Micro Devices, IncAI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement LearningSanta Clara, CaliforniaWe are hiring an AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification—always under explicit governance, kill switches, and human oversight. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD’s AI-for-HW and generative-AI programs.
Lead AI Research Scientist, Hardware AI Systems Advanced Micro Devices IncLead AI Research Scientist, Hardware AI SystemsSanta Clara, CATHE ROLE: We are hiring a Lead AI Research Scientist, Hardware AI Systems, to develop AI systems that generalize across hardware engineering contexts, different SoC programs, toolchains, process nodes, and teams, without bespoke retraining for every program. PREFERRED EXPERIENCE: Deep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL).
Data Scientist / AI Scientist - AI for Aging Research - Zhou lab Buck Institute for Research on AgingData Scientist / AI Scientist - AI for Aging Research - Zhou labNovato, CA$80,000–$130,000 / yearThis individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
AI Research Scientist - Machine Learning for Behavioral AI Meta Platforms IncAI Research Scientist - Machine Learning for Behavioral AIPasadena, CAWe identify key technology gaps requiring step-change innovation, build AI-driven autonomous discovery pipelines to compress development timelines, leverage external partners to accelerate research, and deliver high-quality technology solutions through cross-functional, high-performing teams. Working at the frontier of deep generative modeling, computational chemistry, and agentic AI, you will develop and deploy state-of-the-art models - including diffusion models, flow matching, and transformer-based architectures - that predict and generate stable crystal structures and molecular candidates with target properties.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryPasadena, CADesign, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines Build specialized AI sub-agents that operate within a closed-loop discovery framework Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics.
Staff AI Research Scientist, Applied AI, Google Cloud GoogleStaff AI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
AI Research Scientist, Applied AI, Google Cloud GoogleAI Research Scientist, Applied AI, Google CloudSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
Senior AI Research Scientist, Robotics & Embodied AI Samsung SDS America IncSenior AI Research Scientist, Robotics & Embodied AIMountain View, CAYou will work alongside a small, highly technical team where researchers have direct ownership of their work-from defining research questions and developing novel approaches to implementing experiments and evaluating results on real robots. Working with multiple robot hardware partners, we develop complete embodied AI systems spanning data collection through teleoperation, learning and policy development, simulation, and deployment on physical robots in real-world environments.
NewSenior Research Scientist, Cloud AI Research Google LLCSenior Research Scientist, Cloud AI ResearchMountain View, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you"ll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
AI Research Scientist, Real-Time Video Understanding & Physical AI Samsung SDS AmericaAI Research Scientist, Real-Time Video Understanding & Physical AIMountain View, CA$230,000–$270,000 / yearThe lab trains and runs learned policies on its own physical platforms — from teleoperation-based learning to dexterous manipulation — so your research has a living testbed: real robots executing real learned behaviors, generating the kind of behavioral data most video researchers never get to touch. Our lab researches the AI systems that make robot fleets trustworthy in production: real-time perception and reasoning over robot behavior — and, at its core, detecting when a robot is doing something wrong — built on multi-camera video understanding and multimodal signals from the operating environment and the robot itself.
Senior Quantum AI Research Scientist, Applied Research NVIDIASenior Quantum AI Research Scientist, Applied ResearchRedmond, WashingtonYour research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems.