Deep Learning Jobs

OpenAI

OpenAI's Hardware organization is developing next-generation AI-native silicon and system-level solutions tailored for advanced AI workloads. As an Engineer on our hardware optimization and co-design team, you will collaborate with vendors to co-design future hardware for programmability and performance. You will work closely with kernel, compiler, and machine learning engineers to understand their needs regarding ML techniques, algorithms, and programming expressivity. Your role will involve evangelizing these constraints to vendors to influence future hardware architectures for efficient AI model training and inference, and optimizing large language models across devices, networking bottlenecks, and compute pipelines.

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.

OpenAI

As a Machine Learning Engineer in OpenAI's Integrity team, you will work on state-of-the-art models and classifiers, experiment with new architectures and approaches, and advance our capabilities in content and user understanding. This role offers the chance to transform research breakthroughs into tangible solutions that enhance the trust and safety of our platform, with a focus on training LLMs and building ML models. You will be instrumental in designing and deploying advanced machine learning models to solve real-world problems, bringing OpenAI's research from concept to implementation and creating AI-driven applications with direct 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.

Applied Intuition is seeking a Motion Planning Engineer for their Fallback Stack team. This role focuses on designing and implementing deterministic, safety-critical planning systems to ensure autonomous vehicles operate safely during degraded autonomy or uncertainty. The position emphasizes classical motion planning, predictable behavior, and large-scale evaluation, rather than deep learning-driven planning. You will contribute to a dynamic, customer-focused team culture and help shape best practices in the autonomy industry, making a significant impact on the development of autonomous systems.

$60k - $300k

Poolside is building a company to achieve Artificial General Intelligence, focusing on accelerating software development through agentic systems and frontier models. This role is on the data team, with the primary mission to improve the quality of datasets used for training models across the entire training cycle. The focus is on generating synthetic data at scale and determining the best strategies to leverage this data for training large models. You will collaborate with various teams to define data needs that address missing model capabilities and downstream use cases, staying current with research in synthetic data generation and LLM training. This is a hands-on role involving leading research initiatives through experiments and deploying engineering solutions into production, with access to performant distributed data pipelines and large GPU clusters.

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.

Baseten is seeking Software Engineers to join their team in a specialized, high-impact role at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. This position involves not only building automated performance monitoring and diagnostic tools for next-generation AI infrastructure but also defining the roadmap, driving key technical decisions, and taking full ownership of the future direction of this work. The role offers the opportunity to shape the platform that engineers use to deploy cutting-edge AI models into production.

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.

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.

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.

OpenAI

OpenAI's Training team is responsible for producing the large language models that power our research and products, bringing us closer to AGI. This involves deep research into improving current architectures, datasets, and optimization techniques, alongside long-term bets on future model efficiency and capability. As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities. The ideal candidate has a deep understanding of LLM architectures, model inference, and a hands-on empirical approach, comfortable with creative breakthroughs, strengthening baselines, designing evaluations, debugging regressions, and tracking bottlenecks.

We are seeking a Member of Technical Staff specializing in Image/Video Generation to join our team. You will be instrumental in training large-scale diffusion models for image and video generation, pushing the boundaries of generative AI. This role involves exploring novel approaches, rigorously testing design choices, and understanding the trade-offs between speed and quality in production settings. You will contribute to shaping our research direction by conducting experiments, analyzing results, and communicating findings to the team. This is an opportunity to work on foundational technologies used by millions of creators worldwide and contribute to the advancement of generative models.

€130k - €340k

Mistral AI

Mistral AI is a pioneering company focused on democratizing AI through high-performance, optimized, open-source models and solutions. We aim to simplify tasks, save time, and enhance learning and creativity by integrating AI seamlessly into daily working life. Our comprehensive AI platform serves both enterprise and personal needs, featuring offerings like Le Chat, La Plateforme, Mistral Code, and Mistral Compute. We are a dynamic, collaborative, and diverse team passionate about AI's potential to transform society, driven by innovation and a low-ego, team-spirited culture.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to drive the adoption of its products and solve complex technical challenges for customers. The Applied AI team works directly with enterprise clients from pre-sales through implementation, deploying cutting-edge AI solutions to deliver measurable business impact. This role bridges the gap between AI research and real-world applications, ensuring solutions are robust, scalable, and aligned with customer needs and Mistral's vision. The team values output and impact over hours spent, fostering a direct, low-ego, and high-standards environment where the best ideas prevail.

OpenAI

OpenAI is seeking a senior researcher passionate about AI safety to set research directions and conduct projects aimed at making AI systems safer, more aligned, and robust against adversarial or malicious use cases. This role is critical in shaping the future of safe AI systems at OpenAI and significantly impacting the mission to build and deploy safe AGI. The Safety Systems team focuses on ensuring AI models can be safely deployed to benefit society, advancing capabilities for robust and safe AI behavior, and addressing challenges as AI becomes more powerful and widely used.

We are seeking Applied Research Scientists to develop cutting-edge computer vision and generative models for our creative tools. This role involves building impactful and novel machine learning projects, leveraging strong software engineering skills, and a deep interest in translating research into novel user interfaces for creative tasks. You will collaborate across teams, including backend, design, and frontend engineering, to ensure your research models are production-ready and harmonize with user interfaces.