Senior AI Research Engineer Jobs

The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory is seeking motivated individuals to contribute to world-class research in artificial intelligence with real impact on national security. The group specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data, and has expanded to include impactful ML solutions for cybersecurity. As a recognized leader in both basic and applied AI/ML, the group shapes emerging AI fields and drives efforts in AI Assurance across the Department of Defense and the Intelligence Community. A hallmark of their work is a focus on operational relevance, designing and evaluating AI/ML systems using realistic datasets and metrics, and partnering directly with intelligence analysts and cyber operators to ensure rapid transition of technologies into real-world, mission-critical systems.

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NVIDIA is seeking an Applied Research Scientist to join its computational engineering applied research team. This role focuses on designing and developing GPU-native numerical methods to enhance the speed, reliability, and usability of engineering simulations across NVIDIA platforms. You will contribute to the numerical foundations for emerging AI-native engineering algorithms by exploring solver algorithms, building research prototypes, and evaluating different approaches. The objective is to rethink traditional CPU algorithms for massive parallelism, hierarchical memory, reduced synchronization, mixed precision, tensor-core computation, and multi-GPU systems, connecting numerical analysis, accelerated computing, software engineering, and AI-native methods.

€121k - €256k

NVIDIA is seeking Senior Deep Learning Scientists to advance their work in streaming and agentic multimodal AI. This role involves developing models capable of reasoning, planning, and acting across diverse modalities, with a focus on defining core algorithmic improvements for multimodal foundation models. You will contribute to high-impact, large language models and multimodal AI products that enhance user experiences, working within the Nemotron LLM team to solve real-world agentic AI challenges.

$184k - $288k

NVIDIA is seeking a senior or principal engineer to join the Generalist Embodied Agent Research (GEAR) group, focusing on physics simulation for Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. You will collaborate with a research team known for influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physical simulation, contributing to impactful research projects and product roadmaps.

$224k - $357k

NVIDIA is seeking top research engineers for its Autonomous Vehicles Research team. This role focuses on AI models for autonomous driving, including agent behavior, end-to-end architectures, AI safety, closed-loop training, and AV foundation models. You will conduct fundamental, publishable research while also impacting products and collaborating with teams across various AI applications. The position offers a collaborative and nurturing research environment.

$184k - $357k

NVIDIA is seeking a world-class researcher in generative AI to join our research team. You will conduct original research for generative AI applications, including image, video, 3D, and audio generation. The role involves working with a team of researchers to make significant impacts with generative AI models, building research prototypes, and scaling them with large datasets and compute. After demonstrating the promise of your research, you will collaborate with product teams to integrate your ideas into products.

$192k - $357k

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), with the goal of creating research that pushes boundaries and has a real-world impact. This role offers the freedom and bandwidth to conduct groundbreaking research within a collaborative team that consistently publishes at top venues in machine learning and AI for science.

$192k - $305k

NVIDIA is seeking an outstanding research scientist to build 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 exploring 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 milestones like Project GR00T, a foundation model for humanoid robots.

$192k - $357k

NVIDIA is developing advanced AI systems capable of perceiving, reasoning about, and generating dynamic worlds. Our team focuses on advancing world foundation models to create high-fidelity, temporally stable video and world generation for applications in Physical AI, simulation, and interactive experiences. This role sits at the intersection of applied research and production, involving the development and validation of model improvements, and their subsequent hardening into production-ready checkpoints and recipes for other teams to utilize. The primary technical focus is on understanding human appearance, motion, and action, with progress measured through rigorous experimentation, diagnostics, and comparative evaluations. Collaboration with data, platform, and product engineering teams is essential to ensure research advancements translate into tangible performance and quality improvements.

$184k - $357k

NVIDIA is seeking a senior or principal engineer to join the Generalist Embodied Agent Research (GEAR) group, focusing on robotics systems. This role is central to Project GR00T, an initiative to build foundation models and full-stack technology for humanoid robots. You will collaborate with a research team known for its influential work in multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation, contributing to impactful research projects and product roadmaps.

$184k - $357k

NVIDIA is seeking a Senior Applied Research Scientist with deep quantum computing expertise to pioneer the future of fault-tolerant quantum systems powered by machine learning. This role involves architecting and building AI solutions at the core of quantum error correction, decoding, and calibration. You will research and develop open AI models, curated datasets, and rigorous benchmarks to advance the state of the art and empower the quantum community. Your work will translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, collaborating with multi-functional teams to integrate AI into next-generation Accelerated Quantum Supercomputers.

$192k - $305k

NVIDIA is seeking a Senior Scientist to advance synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem, creating synthetic datasets across text, code, structured, and multimodal data to enhance LLM pre- and post-training. This role blends hands-on software engineering with applied research in generative methods, requiring collaboration with research, engineering, product, and model teams, as well as external labs. The position emphasizes driving software excellence through modern tooling and professional Git/CI-CD practices, and publishing original research to maintain technical leadership.

$168k - $305k

NVIDIA is seeking a Senior Research Engineer passionate about Generative AI inference to help revolutionize how AI is integrated into products and services. Our team is at the forefront of developing optimized inferencing technologies for a wide range of generative AI models, from language to images. We are involved in the entire machine learning lifecycle, from initial concepts and applied research to engineering for optimized inference and final deployment. This role involves close collaboration with research teams, engineers, and the open-source community.

$192k - $357k

NVIDIA is seeking a Senior Research Scientist 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 through AI and GPU acceleration. You will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques, innovating in EDA software and algorithms with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods. Collaboration with cross-functional teams, the global research community through publications and presentations, and external researchers will be key to translating research into real-world product impact and driving thought leadership.

$192k - $357k

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 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

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

Salesforce AI Research Labs is at the forefront of Generative AI, Natural Language Processing (NLP), and Deep Learning, with a history of pioneering advancements like Einstein GPT, CodeGen, and Moirai. This role is not traditional research; you will act like a founder, identifying high-impact research directions, prototyping cutting-edge AI capabilities, validating ideas with customers, and turning the strongest concepts into production-ready solutions. You'll have the freedom to incubate new ideas, access Salesforce's global customer and product ecosystem, and quickly validate innovations. We seek individuals comfortable with ambiguity, moving with urgency, and caring about customer adoption as much as technical innovation, offering the pace of a startup with the reach of Salesforce.

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OpenAI

The Human Flourishing team is dedicated to ensuring AI systems understand and advance human flourishing, aligning AI capabilities with human values and long-term goals. This role involves measuring and improving models' understanding of human values, supporting user agency, and helping users achieve their long-term objectives. The team also focuses on scaling tangible impact in domains like education and mental health, working across research, product, and partnerships to benefit a large user base. Recent work includes Beneficial RL and the MentalHealthBench benchmark.

$380k - $500k

The Voyage AI team at MongoDB is building state-of-the-art embedding models and rerankers for efficient unstructured data search and retrieval, crucial for RAG, recommendation systems, and semantic search. This team, comprised of AI researchers from top universities, was recently acquired by MongoDB and is integrating its advanced embedding models with MongoDB's data platform to create powerful end-to-end solutions. We are seeking a Senior Research Scientist to join this dynamic team and contribute to the development of next-generation AI models, tackling complex challenges at the intersection of machine learning research and the practical deployment of large neural networks.

$126k - $248k

Anthropic

Anthropic is seeking individuals for a paid, fixed-term research residency program, lasting between six weeks and six months. This program is designed for experienced professionals, such as professors in quantitative disciplines, technical founders, or staff-level engineers, who are looking to transition into full-time work focused on ensuring AI systems are safe and beneficial for humanity. While a background in machine learning is not strictly required, candidates should be motivated by AI safety and excited about empirical AI research. The residency offers a scoped project with direct mentorship from Anthropic researchers, access to Claude models and GPU compute, and connections to the AI safety and security research community.

$350k - $500k

Raindrop

Raindrop is seeking a founding Research Engineer to investigate the behavior of AI agents in production environments. This role is crucial for an early-stage team, involving setting the research direction, conducting experiments, and disseminating findings through publications. The focus will be on understanding agent failures, advancing simulation techniques, developing novel detection methods for undefined issues, and exploring high-impact open questions in AI agent behavior. The ideal candidate will possess strong communication skills, a passion for sharing research, deep expertise in areas like interpretability or AI safety, and the ability to prototype and ship experiments.

Salary not listed