AI Research Engineer Jobs

NVIDIA Research is seeking a PhD researcher to conduct groundbreaking research at the intersection of AI, GPU computing, and Electronic Design Automation (EDA). This role offers the opportunity to shape the future of chip design, which is being transformed by deep learning and GPU acceleration. We are looking for creative and collaborative individuals interested in tackling new challenges and contributing to a world-class technology employer.

$168k - $265k

NVIDIA's Agentic Cybersecurity Research team is seeking a motivated AI Security Researcher to innovate and enhance the protection of AI models, systems, and infrastructure. This role involves researching and developing advanced technology that secures AI and systems using AI, contributing to globally visible work that drives the frontier of the industry. You will focus on both using AI models and agents to improve cybersecurity and securing AI models and agents themselves.

$168k - $305k

We are seeking a Senior Scientist to spearhead research in advancing AI models and agents specifically for cybersecurity applications. This role involves enhancing capabilities like security reasoning, code and system understanding, planning, tool use, and long-horizon investigation, with the goal of applying these to critical security challenges. The ideal candidate will drive progress in underlying models, agent architectures, data strategies, training methodologies, and evaluation techniques, while also addressing the unique demands of real-world security environments such as high precision, robustness against adversaries, explainability, and privacy. This position offers a unique opportunity to shape research direction, influence future platforms, and translate foundational AI advancements into practical cybersecurity tools and workflows in collaboration with cross-functional teams.

$224k - $431k

NVIDIA is seeking research interns with a strong background in applying modern AI methods to re-imagine technology across Earth System Simulation and Analytics. This role involves research on applied topics such as generative data assimilation, hybrid climate simulation, full model emulation of climate model components, regional-to-global high-resolution AI autoregressive weather prediction, and dynamical downscaling. We are looking for creative, independent, and self-starting individuals to help invent the future of AI in climate science. The ideal candidate will have strong computer science skills with knowledge of physical domain sciences, or strong domain science skills with sufficient technical expertise. Join a diverse research group that tackles challenging interdisciplinary problems, publishes at top venues, and drives real impact on NVIDIA products and global climate prediction.

$0k - $0k

NVIDIA is seeking a Reinforcement Learning Engineer to join its mission in building intelligent, safe, and efficient self-driving technology. This role involves pushing the boundaries of autonomous vehicle decision-making and planning by leveraging Deep Reinforcement Learning (RL). As a world leader in AI and high-performance computing, NVIDIA offers a unique platform where innovative research meets real-world production, aiming to redefine transportation globally.

$224k - $357k

NVIDIA is seeking a Principal Scientist to lead the technical direction for synthetic data generation across its frontier model initiatives. This role involves defining and building open-source libraries within the NVIDIA NeMo ecosystem to create synthetic datasets for text, code, structured, and multimodal data. These datasets will be crucial for the pre- and post-training of large language models like Nemotron. The position blends hands-on software engineering with applied research in generative methods, requiring collaboration with various internal teams and external research labs.

$272k - $431k

Join our groundbreaking research team as we revolutionize the future of physical AI through advanced generative models. As a Research Scientist specializing in Generative AI for Physical AI, you will be at the forefront of developing next-generation algorithms that bridge the gap between virtual and physical realms. You will work with state-of-the-art technology and have access to massive computational resources to bring your ideas to life, shaping the future of AI where digital intelligence meets physical reality.

$168k - $265k

NVIDIA Research is seeking a world-class generative AI researcher to join its fundamental generative AI research team. The team focuses on advancing generative AI methods for scientific applications, including biomolecular design (small molecule, protein, and RNA design). The role involves fundamental research with the freedom to conduct ground-breaking work, aiming to push the boundaries of generative models and create real-world impact. Researchers will collaborate with a talented team that consistently publishes at top venues in machine learning and AI for science.

$168k - $265k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking top Research Scientists to advance the field of intelligent machines for autonomous vehicles, robotics, and physical AI. This role focuses on fundamental research challenges, including developing new training paradigms, ensuring safety and reliability in critical applications, enabling navigation in novel environments, and building systems that reason and interact safely with humans and other agents. Researchers are encouraged to publish their work and contribute to open-source projects, collaborating with internal product teams and external researchers to influence real-world products while pursuing groundbreaking research.

$168k - $265k

NVIDIA is developing advanced foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to the advancement of Physical AI and world models.

$0k - $0k

NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking outstanding Research Interns to contribute to cutting-edge work in autonomous vehicles, robotics, and physical AI. This role involves tackling fundamental research challenges to enable intelligent machines to perceive, reason, and safely interact with the physical world and people. The group focuses on foundational research areas including foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI. Interns will be encouraged to publish their work and open-source their code, collaborating with experts across NVIDIA to influence real-world products while conducting groundbreaking research.

$0k - $0k

We are seeking PhD research interns to advance the next generation of large language models using reinforcement learning. Our applied deep learning research team pioneers projects like Megatron, MT-NLG, and DLSS, building state-of-the-art foundation models and developing new methods to enhance their reasoning, alignment, reliability, and ability to solve real-world tasks. This internship will focus on algorithmic research at the intersection of reinforcement learning and large language models, involving the design, implementation, and evaluation of new RL-based methods for improving LLM behavior through hands-on experimentation and rapid prototyping at scale.

$0k - $0k

Join the Autonomous Vehicle (AV) Applied Research team to advance safe autonomy using generative world models and synthetic data. This internship offers the chance to collaborate with researchers and engineers on next-generation models for understanding, simulating, and reasoning about complex driving environments. We seek a motivated intern with a strong machine learning background and interest in generative world models, multimodal foundation models, and synthetic data generation. The team works closely with NVIDIA Research and the AV organization to develop scalable methods for training, evaluating, and improving autonomous systems, focusing on generative video and world models, controllable scenario generation, multimodal learning, end-to-end driving, 3D computer vision, and data-centric learning. The goal is to use generative models to create diverse, safety-critical driving experiences that enhance the robustness and generalization of autonomous systems.

$0k - $0k

NVIDIA is seeking a world-class generative AI intern to join the Fundamental Generative AI research team. This role focuses on pushing the boundaries of generative models for various data types including image, video, 3D, graph, and multimodal data, with applications in science such as drug discovery and climate modeling. The intern will collaborate within a research team known for top-tier machine learning publications and contribute to impactful, real-world advancements.

$0k - $0k

NVIDIA is seeking a PhD intern to join the Deep Learning Efficiency Research (DLER) team, focusing on research that pushes boundaries and has real-world impact. The team's core areas include efficient diffusion language and multimodal generative models, as well as efficient agentic AI with hybrid inference orchestration. We are also interested in post-training model optimization, efficient architecture design, adaptive inference, and resource-efficient training and finetuning. You will collaborate with a research team that consistently publishes at top venues, contributing to technologies that can impact NVIDIA's products.

$0k - $0k

NVIDIA is developing world foundation models and generative AI systems for Physical AI applications, including robotics, autonomous driving, smart spaces, and embodied agents. The NVIDIA Cosmos Platform facilitates multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are seeking talented PhD interns to contribute to advancements in Physical AI and world models. This role involves conducting research, developing algorithms, training and evaluating large-scale models, collaborating with cross-functional teams, and publishing research findings.

$0k - $0k

NVIDIA is seeking a research intern to contribute to building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. The mission is to create general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, game AI, and physical simulation, contributing to significant research projects and product roadmaps, including recent milestones like Project GR00T.

$0k - $0k

NVIDIA Research is seeking PhD interns for the AI-Aided Engineering (AIE) team. This role involves developing novel AI methods for physical simulation and engineering design, with a focus on neural operators, geometric representations, and large-scale learning. Interns will work with experienced mentors on impactful research, with opportunities to publish in leading conferences and journals. Projects will be tailored to interns' expertise, aiming to advance the field and transfer research into practical applications.

$0k - $0k

HackerRank is seeking research-oriented M.S./Ph.D. scholars to explore and develop novel Deep Learning architectures and build efficient, trustworthy AI systems. A key research direction involves developing a model-agnostic external Recursive Reasoning Engine to enable smaller models to solve complex software engineering tasks with greater effectiveness and lower inference cost. This role will focus on advancing AI-driven Technical Interviewing, assessment of Integrity, and the measurement of Engineering skill in the agentic era, tackling open problems in building autonomous AI interviewers, detecting fraud, and measuring technical skill in a world where AI assists in coding.

Salary not listed

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role is an opportunity to join a fast-scaling company at an inflection point, defining a new category in real-time. The team operates with intensity, ownership, and a commitment to excellence, guided by values of Decisiveness, Simplicity, and Job's Not Finished. We are looking for driven individuals to do the best work of their careers alongside like-minded colleagues.

$230k - $340k

Snorkel AI

Snorkel AI is seeking a Research Fellow to build open benchmarks and evaluation environments that help shape how AI progress is measured. This fellowship is designed for PhD students and postdocs who wish to translate significant research questions into novel AI evaluation methods. The fellow will lead projects from inception to public release, with guidance from a Snorkel researcher and access to company resources, including domain experts and compute power. This role involves a hybrid work arrangement, with at least one day per week spent with Snorkel's research team in San Francisco or New York offices.

$85k - $165k

Dscout

Dscout is seeking an AI Research Engineer to join their new AI Training & Evals unit. This team focuses on building human data and evaluations to determine if AI performs effectively for real people in real-world contexts. While AI models may excel at benchmarks, they often surprise users in practice. This role bridges that gap by leveraging Dscout's decade of experience in capturing human behavior to create training data, evaluations, and benchmarks that AI teams can trust. The position offers a unique opportunity to work on unsolved problems in AI measurement, study real participants in their own context, and contribute to publishing novel methods and benchmarks.

$250k - $400k

Snorkel AI

Snorkel AI is seeking a Research Scientist to advance the creation of high-quality data and environments for AI agents. You will build and optimize pipelines that integrate real-world data, automated generation, and human expert input. Collaborating with domain experts, academic partners, customers, and internal teams, you will scale these pipelines to address frontier model performance gaps and enhance data and environment diversity. Your work will empower human knowledge and judgment, enabling experts to refine data and agentic environments, solidifying Snorkel's position as a leader in frontier data solutions. This role is perfect for individuals passionate about advancing frontier AI through data and environment creation, and who enjoy translating research into scalable, reusable systems.

$200k - $375k

Snorkel AI

Snorkel AI is seeking a Research Scientist to bridge the gap between cutting-edge research and real-world AI systems. This hands-on role involves prototyping, building, and deploying innovative AI solutions, translating research breakthroughs into scalable, practical applications. The company operates in a fast-paced, high-impact environment, seeking individuals who thrive on rapid iteration, solving open-ended challenges, and driving innovation from research into production.

$200k - $375k