Deep Learning Jobs

Scale AI

Scale's Global Public Sector team is seeking Applied AI Engineers to build custom, end-to-end AI applications for public sector clients worldwide. This role involves leveraging the latest AI advancements to create impactful solutions, generate high-quality training data for national LLMs, and contribute to upskilling initiatives. You will work on developing and fine-tuning sophisticated models for real-world use cases, aiming to transform public sector operations and enhance citizen services through cutting-edge technology. Join a rapidly expanding team dedicated to shaping the future of AI in the public sector.

Scale AI

Scale works with leading AI labs to accelerate progress in GenAI research, focusing on optimizing data curation and evaluation to enhance LLM capabilities in text and multimodal modalities. This role involves developing novel methods to improve the alignment and generalization of large-scale generative models, collaborating with researchers and engineers on best practices in data-driven AI development, and providing technical and strategic input to foundation model labs for the next generation of AI models.

$252k - $315k

Scale AI

The Human Frontier Collective (HFC) Fellowship is a fully remote, six-month independent contractor opportunity designed to bring together top researchers and domain experts to collaborate on high-impact AI projects. Fellows will apply their expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with an interdisciplinary network of leading thinkers. This role offers a flexible schedule with 10-40 hour work weeks and competitive pay based on project scope and skillset. Candidates must be authorized to work in the United States, as visa sponsorship is not provided.

Scale AI

The Human Frontier Collective (HFC) Fellowship is a program that brings together top researchers and domain experts to collaborate on high-impact AI projects. As an HFC Fellow, you will apply your expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with a diverse network of leading thinkers. This is a fully remote, independent contractor opportunity with a flexible schedule, offering a chance to contribute to influential ML projects, co-author research publications, and develop your AI expertise within a supportive community.

Scale AI

The Human Frontier Collective (HFC) Fellowship is a six-month, fully remote, independent contractor opportunity designed to bring together top researchers and domain experts to collaborate on high-impact AI projects. Fellows will apply their expertise to design, evaluate, and interpret advanced generative AI systems, gaining exposure to cutting-edge research and working with an interdisciplinary network of leading thinkers. This role offers a flexible schedule, allowing fellows to set their own hours (10-40 hours per week), and provides opportunities for professional development through review projects, advisory roles, and research, contributing to academic visibility and professional recognition.

Google DeepMind

Google DeepMind's research team is dedicated to tackling complex challenges in online information quality, advancing the state of the art by developing innovative solutions to detect manipulated media and misleading narratives. The team leverages interdisciplinary work spanning provenance analysis and the creation of tools for AI-assisted information literacy, with a focus on ensuring the integrity of digital discourse and a safer online environment. This role involves researching and building multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media on the internet, with a passion for advancing information literacy using machine learning and computational techniques.

thinkingmachines

Thinking Machines Lab is seeking pre-training researchers to join their mission of advancing collaborative general intelligence. This role is central to developing the next generation of AI models by blending research with large-scale data engineering. You will be responsible for assembling pre-training datasets and data systems, designing and implementing methods for sourcing, curating, and analyzing data for quality and performance. The position involves working with automated pipelines and human-in-the-loop processes, contributing both scientific insights and production-grade code. It's an ideal opportunity for individuals passionate about the intersection of data, machine learning, and systems, and who are eager to shape the future of AI.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design and build core systems for efficient large-scale model training, with a specific focus on numerics. This role involves enhancing the numerical foundations of their distributed training stack, optimizing precision formats, kernel optimizations, and communication frameworks to ensure stable, scalable, and fast training of trillion-parameter models. The ideal candidate will bridge research and systems engineering, possessing a strong understanding of both optimization mathematics and distributed compute realities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and maintain the compute foundations for large-scale language model training. This role involves developing high-performance ML kernels, enabling efficient low-precision arithmetic, and improving the distributed compute stack. You will work closely with researchers and systems architects, bridging algorithmic design with hardware efficiency, prototyping new kernel implementations, and defining numerical and parallelism strategies for scaling AI systems.

$350k - $475k

Mistral AI

Mistral AI is seeking an Applied Scientist with deep expertise in engineering sciences to work at the forefront of AI-accelerated simulation. This role involves collaborating with industrial customers and internal research teams to build and deploy AI Physics Models, complementing our existing Large Language Models (LLMs). You will be involved in the entire process, from curating high-fidelity simulation datasets and training/evaluating models to delivering production-grade AI solutions directly to engineering teams. The target domains include computational fluid dynamics, structural mechanics, semiconductor design, multi-physics modeling, and digital twins. Working cross-functionally, you will ensure our models meet stringent engineering standards beyond just benchmark metrics.

Abridge

Abridge is seeking Clinician Scientists to advance the development of its AI-powered clinical tools. This role requires a blend of deep clinical expertise and a background in AI, focusing on shaping AI-driven tools to ensure accuracy and quality for clinicians and patients. You will collaborate closely with engineers, researchers, product managers, and fellow clinicians to refine AI models, validate outputs, and create new functionalities that enhance documentation workflows.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their products among customers. This role involves collaborating closely with clients from pre-sale to post-implementation, ensuring their solutions meet and exceed expectations. You will manage daily customer relations, acting as a key resource for externalizing research into production settings and driving the successful deployment of Mistral AI products. The position offers the opportunity to work on state-of-the-art Generative AI applications across various industries and contribute to a pioneering company shaping the future of AI.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate customer adoption of their AI products. This role involves collaborating closely with customers to address complex technical challenges, from pre-sale to post-implementation, ensuring solutions meet and exceed client expectations. You will manage daily customer relations, act as a key resource for externalizing research into production, and work on state-of-the-art Generative AI applications across various industries. This position offers the opportunity to contribute to a pioneering company shaping the future of AI and make a meaningful impact.

Google DeepMind

Google DeepMind's Frontier AI unit is seeking experienced Research Scientists to join a multimodal safety research effort. This role focuses on interdisciplinary sociotechnical modeling and requires a passion for understanding AI-society interactions, a strong awareness of AI alignment and safety, and a drive to develop novel ideas, methods, interfaces, and tools. You will contribute to advancing the state of the art in AI research and Google DeepMind's mission towards Artificial General Intelligence (AGI), with a focus on leading new breakthrough research directions in areas like AI behavior exploration, assessment, and steering, particularly for subjective and creative tasks. The work involves tackling fundamental research questions to improve alignment objectives, assess adherence to desired behaviors, and enable AI agents to monitor real-world social context and evolve system behaviors over long time-horizons. You will develop new paradigms for human+AI rating that are adaptive and context-aware, driving breakthroughs within Google DeepMind, Google products, and the broader AI alignment community.

Cohere

Cohere Labs is seeking Research Engineers to join their dedicated research arm, focused on pushing machine learning forward through open, collaborative research and hands-on experimentation. This is a highly practical role where you will work closely with scientists and engineers to implement new methods, run large-scale experiments, and help shape the infrastructure supporting our research programs. You will be responsible for building experiments, debugging models, scaling training pipelines, and turning research ideas into working systems. We value curiosity, strong fundamentals, and a willingness to learn quickly in a fast-moving research environment, with a focus on practical impact.

Mistral AI

Mistral AI is democratizing AI through high-performance, optimized, open-source models and solutions. We are a dynamic, collaborative team passionate about AI's potential to transform society, with a diverse workforce driving innovation. As a Research Engineer – ML track, you will build and optimize large-scale learning systems powering our open-weight models. You will work hand-in-hand with Research Scientists, either enhancing the shared training framework and data pipelines or embedding within a research squad to turn fresh ideas into scalable code.

Cohere

Cohere is seeking an Audio Inference Engineer focused on Model Efficiency to join a fast-growing team of researchers and engineers. The mission of this team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will advance core audio model serving metrics, including latency, throughput, and quality by diving deep into systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You will collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join its customer-facing technical organization. This role involves facilitating customer adoption of Mistral AI products, addressing complex technical challenges, and deploying cutting-edge AI solutions that deliver measurable business impact. You will bridge the gap between AI research and real-world enterprise applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's technological vision. The team operates with a focus on outputs, direct communication, and a low-ego, high-standards environment, embracing an unstructured setting.

Reflection ai

Reflection is a research lab dedicated to making intelligence open and accessible for everyone. We build open models that empower individuals to control their intelligence and shape the future of AI. As a Member of Technical Staff - Pre-Training, you will be instrumental in researching and building solutions across algorithms, scaling laws, data processing, optimizers, and model architecture. This role involves designing and executing scientific experiments to deepen our understanding of scaling large language models and data efficiency, while also implementing state-of-the-art deep learning methods. You will have the opportunity to lead small research projects independently and contribute to larger initiatives, optimizing training infrastructure for efficient scaling and working across the entire stack from low-level optimizations to high-level model design.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to join their team and facilitate the adoption of their products among customers. This role involves working closely with clients from the pre-sale stage through post-implementation, ensuring their solutions meet and exceed expectations. The engineer will manage daily customer relations, act as a key resource for externalizing research in production settings, and collaborate with researchers, AI engineers, and product engineers on complex customer projects. The goal is to drive the successful deployment of Mistral AI products and contribute to technological transformation across various industries.