Entry-Level AI Research Engineer Jobs

Sierra

Sierra is seeking an Applied Research Intern to join their team focused on improving the performance, speed, and cost-efficiency of AI agents. This internship offers a unique opportunity to work on a research project from conception to potential publication, with the guidance of a mentor. The intern will tackle real-world AI agent challenges, conduct rigorous experiments, and contribute to advancements in agent evaluation, reasoning, and post-training methods. The role is ideal for individuals passionate about making AI agents more reliable and effective, with the potential for their research to impact millions of users.

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Fireworks is seeking a Member of Technical Staff on the Research team, designed for individuals completing their PhD who want to see their work deployed in production. This role involves pushing the boundaries of generative AI, advancing LLMs and multimodal systems through foundational research. Your work will focus on enhancing model efficiency, accuracy, and scalability, directly contributing to our high-performance AI infrastructure. You will be paired with a senior researcher for mentorship and tackle a real research problem from day one, collaborating with experts in deep learning, distributed systems, and optimization. The goal is to see the models you help create deployed by leading companies, often within weeks.

$200k - $300k

NVIDIA's Seattle Robotics Lab is seeking Research Scientists to contribute to fundamental and applied robotics research across perception, planning, control, and learning. This role involves developing algorithms and models for robotic manipulation and loco-manipulation, integrating them into real-world systems, and engaging with the academic community through publications and code releases. You will collaborate with product managers and engineering teams to transfer research into NVIDIA products and mentor interns. The lab aims to build essential technology enabling companies to become robotics leaders, targeting grand challenges and achieving new capabilities within 2-3 years.

$168k - $265k

NVIDIA is seeking world-class deep learning researchers to build the next generation of AI for graphics and gaming. This role focuses on step-change research that delivers undeniable user experience improvements, driving fundamental AI research into products used by millions. You will conduct cutting-edge research, train advanced models, prototype in real-time engines, and collaborate with product, driver, and hardware teams to bring innovative ideas to market. If you are passionate about deep learning, real-time graphics, and delivering transformative technology directly into games and graphics applications, this is an excellent opportunity.

$168k - $265k

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 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 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

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

NVIDIA is seeking a PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI. This research will explore new model architectures, training objectives, and efficient training and inference for multimodal generation and action-conditioned prediction, with a focus on physical plausibility, spatial and temporal consistency, and the modeling of human appearance, motion, and interactions. The intern will collaborate with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation, with projects tailored to team priorities and the intern's research strengths.

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Mercor is seeking a Research Engineer Intern to work at the intersection of engineering and applied AI research. This role will focus on owning benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and improve frontier language models. Your work will be crucial in defining how we measure tool use, agentic behavior, and real-world reasoning. You will design and run evaluations, build rubrics and scorers, and translate failure analysis into actionable improvements for post-training, RLVR, and data pipelines.

Salary not listed

Databricks

Databricks is seeking a PhD GenAI Research Scientist Intern to join their Mosaic AI organization. This role focuses on pushing the frontier of domain adaptation for Large Language Models (LLMs) and AI systems, enabling them to work effectively within custom enterprise domains. You will tackle open research problems related to scaling and automating evaluation, fine-tuning with synthetic data, retrieval augmentation, and efficient inference. The intern will collaborate with the research team on projects involving adapting, improving, and evaluating existing methods, designing novel domain adaptation techniques, and composing multiple methods for efficient post-training.

$0k - $0k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models. Our mission is to create a new category of work where expertise drives AI advancement, requiring an ambitious and fast-paced team working alongside researchers and AI companies at the forefront of technological change. Mercor is a profitable Series C company valued at $10 billion. As a Research Engineer Intern, you will work at the intersection of engineering and applied AI research. Your contributions will directly impact post-training, RLVR, synthetic data generation, and large-scale evaluation workflows for frontier language models. The work you do will be instrumental in training LLMs to master tool use, agentic behavior, and real-world reasoning in production environments. You will shape rewards, conduct post-training experiments, and develop scalable systems to enhance model performance, while also designing and evaluating datasets, creating data augmentation pipelines, and building rubrics and evaluators to push the boundaries of LLM learning.

Salary not listed

We are seeking a hardworking intern with expertise in Reinforcement Learning and Multi-Modal World Simulation Models to advance ML-centric autonomous driving and Physical AI solutions. The role focuses on model-centric RL, understanding world simulation models, and applying state-of-the-art algorithms to real-world applications, enabling vehicles to interpret, anticipate, and respond effectively in dynamic environments. This is an opportunity to contribute to the future of intelligent driving, where innovation drives real-world impact. If you are passionate about building simulation technologies and systems that learn, adapt, and think, we encourage you to apply. Join a team where your contributions are vital to accelerating autonomous vehicle growth with advanced solutions.

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Scale AI

Scale's Machine Learning Research team is at the forefront of AI development, building the foundation for next-generation AI systems. We push the boundaries of frontier models, focusing on safety, reliability, and alignment. Our work encompasses generative AI, reinforcement learning, advanced post-training methods, scalable oversight, synthetic data, red teaming, and evaluation science. We are developing a large-scale hybrid human-machine system to power ML pipelines for numerous industry-leading customers, supporting complex and advanced AI use cases. As an intern, you will contribute to impactful production ML applications and cutting-edge research, guided by world-class researchers and collaborating with leading teams across industry and academia. Interns are expected to deliver real, published, or shipped work.

$120k - $150k

Datadog

Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. DAIR is an industrial research lab motivated by practical challenges in observability and software operation, focusing on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor.

$110k - $140k

Salesforce AI Research is seeking entrepreneurial Research Interns for Summer 2027 to help build the next generation of Enterprise AI. This is a unique opportunity to work like a founder within Salesforce, exploring high-impact research directions, prototyping cutting-edge AI capabilities, and seeing how ideas are validated with customers and turned into production-ready solutions. Interns will have the freedom to propose and explore new ideas alongside mentors and research scientists, with access to Salesforce's global customer and product ecosystem. The role is ideal for individuals comfortable with ambiguity, bringing energy and focus, and who care as much about customer adoption as technical innovation, offering the pace and ownership of a startup with the reach and resources of Salesforce.

Salary not listed