Foundation Models Jobs

OpenAI

We are seeking a Researcher to lead our safety and alignment research, focusing on building systems that can distinguish valuable web content from spam, manipulation, and other adversarial or low-quality material. This role involves tackling the challenge of detecting coordinated manipulation that may not be apparent when evaluating individual pages in isolation. As AI advances the ease of producing convincing content at scale, you will be responsible for adapting detection systems to counter increasingly sophisticated adversaries. You will define the technical strategy, develop classifiers and evaluations, and influence how integrity signals shape Search's indexing and retrieval processes. Collaborating closely with Search and broader Safety and Integrity teams, you will leverage frontier models to enhance detection methods and implement them in production.

$380k - $850k

Plaid is seeking a Staff Machine Learning Engineer to join the Data Foundation & AI team. This team builds the shared ML and AI infrastructure that powers intelligent capabilities across Plaid's product suite, transforming unique financial network data into scalable, general-purpose representations. The role involves working at the intersection of machine learning infrastructure, applied AI, and distributed systems to establish the core AI platform that enables innovation. The Staff ML Engineer will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across pretraining objectives, model architecture, and fine-tuning approaches. This position requires establishing rigorous evaluation frameworks, building scalable pipelines, and partnering with teams across the organization to define product integrations with foundation models. As a senior technical leader, you will mentor engineers, elevate engineering standards, and represent Plaid's AI and machine learning capabilities externally.

$249k - $368k

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.

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Chai Discovery is building the computer-aided design suite for molecules, used by major pharmaceutical companies to power drug discovery programs. AI is revolutionizing life sciences, and our team is at the forefront of this transformation. We train frontier models that understand the fundamental principles of biochemical structure and interaction, coupled with a computational workspace that enables scientists to iterate on molecules from concept to medicine. This accelerates the development of novel therapeutics. This role focuses on building the AI platform that empowers scientists to direct research programs using agents. As Chai's models advance, scientists will increasingly focus on core scientific problems and hypotheses, delegating subtasks to intelligent agents. This requires creating innovative abstractions that facilitate seamless collaboration between people, agents, and Chai's foundation models.

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

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 outstanding Research Interns to join the Data-Driven AI for Robotics (DAIR) group, focusing on learning embodied skills from large-scale human data. The objective is to develop AI systems that can capture, understand, and reproduce complex human motion and interaction skills across physical and digital embodiments, including humanoid robots and animated characters. This research spans the full stack, from reconstructing human motion and interactions from video to generating controllable character behaviors, transferring motion across embodiments, and training grounded controllers for robots and virtual characters. Interns will collaborate with a supportive research team producing influential work and have opportunities to connect with product teams across NVIDIA.

$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 Research's Human Performance and Experience (HPX) team is seeking passionate individuals for a PhD Research Intern position focused on cross-disciplinary vision science between humans and machines. This role involves collaborating with research scientists, engineers, and product engineers to address real-world problems at the intersection of computer vision, human vision science, and robotic vision. The internship offers an opportunity to contribute to AI innovation and shape the future of human-AI interaction.

$0k - $0k

Luma is seeking a Research Scientist/Engineer to build the systems that enable reinforcement learning (RL) at a frontier scale. This role involves coupling policy optimization with large fleets of inference workers, agentic environments, and reward/verification systems to translate model behavior into learning signals. RL is crucial for Luma's models to evolve from capable to useful. This is a full-loop systems problem encompassing training, rollout generation, environment execution, and reward computation across thousands of GPUs, requiring speed, stability, and correctness. The ideal candidate has experience with post-training LLMs using RL, building environments and verifiers, and debugging large-scale asynchronous rollout pipelines.

Descript's Research team focuses on building specialized models for specific editing workflow problems, aiming to ship them as production features used by millions of creators. This role is centered on multimodal understanding, developing models that perceive edited media like a human video editor. The goal is to enhance Descript's AI editing agent, Underlord, by enabling it to directly perceive media, judge its own output, and reason about creative choices beyond just project structure. This is an open research problem with a unique dataset available.

$197k - $263k

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products.

$320k - $400k

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 Senior Deep Learning Scientists to advance our 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 our Nemotron LLM team.

$152k - $288k

NVIDIA is seeking Senior Deep Learning Scientists to advance our work in streaming and agentic multimodal AI. This role involves developing models capable of reasoning, planning, and acting across diverse modalities, contributing to core algorithmic improvements for multimodal foundation models. You will work on high-impact, large language models and multimodal AI products that enhance user experiences, joining our Nemotron LLM team to tackle real-world agentic AI challenges.

$184k - $288k

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

Datadog AI Research (DAIR) is seeking a Research Scientist to partner with Research Engineers on fundamental research problems. The role involves translating research advances into products by collaborating with Datadog's product and engineering teams. The team focuses on high-risk, high-reward problems in cloud observability and security, building on existing AI-powered solutions. The research areas include developing multimodal foundation models for understanding distributed systems and training autonomous agents for observability tasks like incident response and code repair.

$320k - $400k

Latent is seeking a Machine Learning Engineer, Research, to lead the design and development of innovative modeling approaches that push the boundaries of clinical intelligence. This role involves driving research from initial problem definition to validated outcomes, influencing how models learn from longitudinal patient data. We are looking for senior and staff-level engineers adept at managing critical research challenges from inception to completion, with a focus on problems that directly impact patient well-being.

$225k - $300k