AI Research Engineer Jobs

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment. We are developing open-source models trained end-to-end for long-horizon tasks and the platform our research team uses to build them. This role is for someone who wants to build at the intersection of frontier research, real infrastructure, and go-to-market for a new category. As a Research Engineer, you will build the tasks and environments that train our models through RL, and the evaluations that measure their capabilities. You will collaborate directly with researchers to diagnose model failures, examining both task implementation and success scoring.

$150k - $350k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a platform designed to unify compute, environments, evaluations, and deployment for frontier-scale AI development. We are creating open-source models trained for long-horizon tasks and the full-stack platform our research team uses to build them. We are looking for individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

Prime Intellect

Prime Intellect is building the open superintelligence stack, a full-stack system for post-training at frontier scale, from SFT and RL to tool use and agent workflows. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, and the platform our own research team uses to build them. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category. This role will focus on developing the algorithms and systems used to train our open models with reinforcement learning, with opportunities to specialize in RL algorithms, scaling research, or training frameworks.

$150k - $350k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our kernels team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role focuses on harnesses, tool use, context, memory, execution environments, and evaluations that enable agents to perform long-running, useful engineering work. We seek engineers who thrive in ambiguity, possess strong product sense, and are eager to own problems end-to-end, understanding that this is a time-sensitive and business-critical role that may not adhere to a 9-5 schedule.

$150k - $400k

Aleph Alpha

Aleph Alpha is seeking a Senior Performance Engineer to join their pre-training efficiency team in Heidelberg. This role focuses on optimizing the systems required to train foundation models at scale, aiming to maximize hardware utilization and training throughput on large-scale GPU clusters. You will work at the intersection of deep learning frameworks, distributed systems, and GPU microarchitecture to eliminate bottlenecks from the Python layer down to the GPU kernel. The team fosters a culture of ownership, autonomy, and empowerment, with a flat organizational structure that enables quick decision-making and open communication.

Salary not listed

Aleph Alpha

Aleph Alpha is seeking a Senior AI Researcher to join our hallucination reduction capability team. This role focuses on pushing the boundaries of LLM post-training, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL), to reduce model hallucinations and improve grounding in evidence. You will be part of a team conducting cutting-edge research on foundational models, with access to hundreds of GPUs, contributing to the development of trustworthy GenAI for industrial applications.

Salary not listed

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training large language models (LLMs) using reinforcement learning and developing methods for improved generalization. This role involves designing training recipes, environments, and evaluations to ensure models learn skills effectively and generalize beyond their training data. You will collaborate with data infrastructure, evaluation, and pre-training teams to translate research findings into robust training procedures for production models. The ideal candidate is passionate about advancing AI capabilities and contributing to the widespread adoption of AI in enterprise solutions.

CA$295k - CA$535k

DataRobot

DataRobot is seeking a Deep Learning Research Engineer Intern to contribute to the development of a multi-target joint probabilistic foundation model. This ambitious project aims to create a single model capable of handling temporal forecasting, unordered tabular regression and classification, missing-data completion, and mixed-modality inputs and outputs, learning coherent joint structures across various dimensions. The primary focus is on generating real-world value, though strong benchmark performance is also expected. This internship offers a unique opportunity to shape the architecture of a probabilistic foundation model, working on encoders, attention mechanisms, sequence architectures, and distributional output heads. The role requires a blend of deep learning expertise, strong engineering habits, and the ability to reason precisely about model capabilities and limitations.

Salary not listed

We are seeking a Software Engineer II to join our growing India team and help build our Reinforcement Learning Environments (RLE) platform. This platform consists of interactive systems where frontier AI models learn to complete real-world tasks across various domains like software engineering, finance, and legal research. The interaction data generated is crucial for training and evaluating leading AI models. In this role, you will collaborate closely with US-based Engineering, Research, Product, and Operations teams to develop the next generation of AI platforms. You will own significant technical projects, contribute to platform architecture, and build reliable systems that enable rapid development and evaluation of AI models.

Salary not listed

Black Forest Labs is building the foundational layer for visual intelligence, developing multimodal models trained on images, video, audio, and action. Our team pioneered latent diffusion and Stable Diffusion, making generative AI accessible. We are pushing generative media at scale and developing machines that act in the physical world. This role focuses on the critical challenge of evaluating the performance and quality of frontier image and video models, as public benchmarks have fallen behind the capabilities of current models. You will be instrumental in building and refining the evaluation system that assesses every model checkpoint, finetuning run, and competitor release, providing essential insights for product research and development.

€150k - €220k

NVIDIA is seeking an exceptional computer vision and deep learning intern researcher for its spatial intelligence lab. The team focuses on research that pushes boundaries and has real-world impact. Interns will engage in research, design, and implementation of methods related to key topics such as generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, and vision-language models. A significant outcome of the internship is the publication of original research, alongside collaboration with internal and external researchers.

$0k - $0k

NVIDIA's Seattle Robotics Lab is seeking PhD-candidate interns to contribute to cutting-edge research in robotics and AI. This role offers a unique opportunity to work at the intersection of academic research and industry impact, focusing on the full robotics stack from perception to foundation models. Interns will play a pivotal role in developing algorithms, integrating methods into real-world systems, and contributing to high-impact publications and code releases. The lab has a strong track record of influential research and has significantly impacted NVIDIA's robotics and simulation products.

$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 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

NVIDIA's Architecture Research Group is seeking a PhD intern to contribute to defining the future of GPU and data-center computing. This role involves exploring foundational research questions in areas such as GPU microarchitecture, memory systems, large-scale data-center hardware, and emerging accelerators, with a focus on the architectural implications of AI and scientific computing workloads. The intern will apply knowledge of computer architecture, parallel computing, compilers, and runtime systems to identify and develop new hardware and hardware-software co-design opportunities, working alongside researchers and product architects to formulate research questions, evaluate concepts, and build necessary models and simulators.

$0k - $0k

Encord is seeking a Research Engineer to join its ML team, focusing on robotics, computer vision, and multimodal research. This role involves working on data curation, annotation, evaluation, and quality control, with successful projects integrated into the core product. You will tackle evolving research problems across the entire data lifecycle, contributing to a market-leading platform. The position offers the opportunity to develop generalized solutions for diverse multi-modal tasks using a massive flow of proprietary data, working alongside leading robotics and physical AI teams.

Salary not listed

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech, enabling developers to build production-grade voice agents at scale. The company is at the forefront of voice technology, processing vast amounts of audio and transcribing trillions of words. Deepgram fosters an AI-first mindset, expecting all team members to actively use, experiment with, and integrate advanced AI tools into their daily work, embracing rapid change and continuous learning. This role offers the opportunity to pioneer new paradigms in audio AI, addressing fundamental challenges in data scarcity, scale, and cost to make voice interaction universally accessible.

Salary not listed

Deepgram

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text, text-to-speech, and building voice agents. We are seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role requires an AI-first mindset, comfort with rapid experimentation, and a drive to push the boundaries of AI technologies. You will work on challenges that require entirely new paradigms for audio AI to make voice interaction accessible to everyone.

Salary not listed

Deepgram

Deepgram is seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role involves pushing the boundaries of audio AI by developing next-generation neural audio codecs, steerable generative models, and advanced embedding systems. The goal is to create entirely new paradigms for audio AI that make voice interaction accessible to everyone, overcoming limitations of current sequence modeling. You will focus on solving complex problems related to data scarcity, high dimensionality, and computational costs in audio processing.

Salary not listed

Cognition

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises world-class talent from leading AI companies. We are seeking a founding member for our safety team to tackle critical challenges in AI safety and alignment. This role is hands-on, focusing on ensuring our AI agents behave correctly and safely in real-world applications, rather than solely in research benchmarks. You will play a pivotal role in shaping the safety and alignment of our AI systems.

Salary not listed

Aleph Alpha

Aleph Alpha is seeking a Senior AI Researcher to join their Pre-training team, focusing on advancing the architecture and training of next-generation foundation models. This role involves designing inference-efficient architectures, optimizing large-scale training recipes, and working with thousands of NVIDIA GPUs. The position is ideal for someone excited about the intersection of research and engineering, translating mathematical reasoning into principled training decisions from small-scale experiments to large-scale runs. The researcher will influence model quality, run reliability, and efficiency by combining rigorous experimental design with high-quality production code.

Salary not listed

Aleph Alpha

Aleph Alpha is seeking exceptional Senior AI R&D Engineers to join our model training team. You will contribute to building and improving our foundation model pre- and post-training pipeline, which has been used to train Kolibri. This role involves working across the full stack, optimizing training schedules, enabling large-scale code execution for reinforcement learning, and enhancing evaluation codebases. You will have a direct influence on the development of our training pipeline and infrastructure, shaping how quickly we can experiment and improve our models. The position emphasizes identifying issues, taking initiative, and collaborating with team members on working modes, design decisions, and priorities.

Salary not listed

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.

Salary not listed

Embark on an exciting journey with NVIDIA, a global leader in AI and accelerated computing. As an AI Research Intern focusing on multi-modal AI and vision-language model development within the TAO framework in Hanoi/HCM City, Vietnam, you will be at the forefront of advancing cutting-edge machine learning research. You’ll collaborate with a talented team of engineers and researchers dedicated to developing state-of-the-art deep learning models for tasks such as image segmentation, cross-modal understanding, and universal representation learning. This internship offers a unique opportunity to contribute to next-generation AI systems with real-world impact across industries—from autonomous vehicles to intelligent content understanding.

Salary not listed