Deep Learning Jobs

At voize, we are building AI companions to seamlessly take over digital workflows for frontline workers, giving them more time to care, connect, and be present. Our mission is to amplify human impact through technology, not replace it. Backed by significant funding and trusted by thousands of facilities and hundreds of thousands of users, we combine cutting-edge technology with meaningful social impact. We are looking for a Senior ML Engineer to join our dynamic team and contribute to our mission.

NVIDIA is seeking a Senior Deep Learning Software Engineer to join their Algorithmic Model Optimization Team. This role focuses on optimizing generative AI models, including LLMs and diffusion models, for maximum inference efficiency. The team utilizes techniques like neural architecture search, pruning, sparsity, and quantization, and develops an innovative software platform for automated deployment. The engineer will contribute to applied research and the development of this software, which is used both internally at NVIDIA and externally by other AI development teams. This is an opportunity to push the boundaries of inference efficiency and large-scale automated deployment, working with high-level frameworks and improving high-performance kernel implementations.

$184k - $357k

NVIDIA is seeking a Deep Learning Compiler Engineer to join its Deep Learning Compiler (DLC) team. This role involves developing and optimizing compiler algorithms for deep learning networks, which are crucial for NVIDIA's inference engine across various platforms. The compiler is designed to deliver leading inference performance, fast build times, reduced memory footprints, and ease of use for the global deep learning community. You will collaborate with deep learning software framework and hardware architecture teams to accelerate the next generation of deep learning software, contributing to defining public APIs, performance analysis, and implementing compiler infrastructure techniques.

$152k - $242k

NVIDIA is seeking a Senior Synthetic Data Engineer to join the DRIVE team and contribute to automotive innovation. This role involves collaborating with technical leaders in autonomous driving and simulation to design and develop a simulation environment that advances autonomous vehicle technology. The position focuses on creating synthetic data crucial for training deep learning models used in autonomous driving systems, enhancing the reliability and speed of vehicle development through advanced simulation techniques.

$184k - $357k

Handshake is seeking a Machine Learning Engineer I for the Growth Relevance team to help shape the evolution of careers in the AI economy. This role will focus on developing, deploying, and enhancing machine learning systems for lifecycle optimization, personalized notifications, and monetization strategies. You will work with cutting-edge ML infrastructure, including embedding-based retrieval, Graph Neural Networks, and multi-stage rankers, contributing to critical marketplace metrics and responsible AI practices.

$150k - $189k

NVIDIA is seeking a Senior HPC Support Engineer specializing in Ethernet and AI Infrastructure to engage with prestigious customers. This role involves providing comprehensive solutions for sophisticated installations, maintenance, and operations of groundbreaking networking products within data center and networking technologies. As part of the NVEX Global Technical Support team, you will be a conscientious communicator focused on resolving issues and ensuring high customer satisfaction. A significant aspect of the role includes collaborating with Engineering, Marketing, and Support teams on technical matters.

$120k - $207k

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

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

NVIDIA is seeking a Senior MLOps Engineering Manager to lead the build, development, and operation of large-scale, end-to-end data and ML pipelines that power the company's autonomous driving products. This role involves leading a highly technical engineering team responsible for building and operating cloud-scale pipelines that ingest, validate, process, and transform multimodal sensor data into high-quality training, evaluation, and validation datasets. These pipelines are foundational to the autonomous vehicle program and directly enable customer-facing autonomy features. The ideal candidate will be a seasoned engineering leader with strong ownership and a passion for customer-focused development, capable of scaling systems and teams in a fast-paced, multi-functional environment.

$272k - $431k

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's Autonomous Systems and Physical AI Research (ASPIRE) group is seeking top Research Scientists to advance the field of intelligent machines for autonomous vehicles, robotics, and physical AI. This role focuses on fundamental research challenges, including developing new training paradigms, ensuring safety and reliability in critical applications, enabling navigation in novel environments, and building systems that reason and interact safely with humans and other agents. Researchers are encouraged to publish their work and contribute to open-source projects, collaborating with internal product teams and external researchers to influence real-world products while pursuing groundbreaking research.

$168k - $265k

NVIDIA is seeking a Senior System Simulation Architect to drive the development of CPU architectures for AI, deep learning, high-performance computing, gaming, virtual reality, and autonomous vehicles. This role involves developing and integrating full-system functional models, bringing up system and application software in simulation and emulation, and supporting CPU architects and performance engineers. The position is crucial for pushing performance boundaries for NVIDIA's CPU products and integrating them seamlessly with NVIDIA's broader technology stack to enable faster AI model training, agentic use-cases, efficient data processing, and scalable cloud deployments.

$184k - $357k

We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.

$185k - $260k

NVIDIA is seeking software engineers for the CUDA Tile team to support a new tile-based programming model for NVIDIA LPUs. This role involves designing and implementing compiler transformations, developing MLIR-based dialects and lowering passes, and optimizing the performance of tile-based kernels for various NVIDIA GPU and LPU architectures. The scope includes defining public APIs, crafting optimization techniques, and general software engineering. NVIDIA offers competitive salaries, equity, and a comprehensive benefits package, making it a desirable employer in the technology industry.

$152k - $242k

Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on solving complex problems for self-driving cars. We are seeking experienced Machine Learning Engineers with expertise in computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. The role involves inventing human-level AI for perception under real-world conditions, contributing to a defining technological advancement of our generation.

$184k - $357k

NVIDIA is seeking exceptional engineers to design, implement, and deploy cutting-edge end-to-end autonomous driving systems. This role focuses on AI 2.0, leveraging LLMs, VLMs, and VLAs to enhance reasoning, planning, and interactivity in autonomous vehicles and robotics. You will be instrumental in building the future of autonomy by developing and integrating advanced AI models into mass-production vehicles.

$184k - $357k

NVIDIA is at the forefront of visual and AI computing, driven by our pioneering work with GPUs. We are seeking a GPU PCIe and Boot Architect to join our team and design the architecture and infrastructure for critical system functions including boot, PCIe/CXL enumeration, and capability discovery. This role involves collaborating with global software, hardware, and verification teams to shape the next generation of GPUs, creating functional and performance models, and supporting post-silicon validation. If you are creative, autonomous, and passionate about building the industry's highest-performance chips, we encourage you to apply.

$108k - $196k

NVIDIA is seeking a talented Machine Learning Engineer to focus on Product Security, Content Safety, and ML Fairness and Robustness for LLMs across research and production teams. This role involves assessing, quantifying, and improving the safety and inclusivity of multi-modal LLM models in a scalable manner. You will develop datasets and models for training and evaluating systems related to Content Safety, ProdSec, Robustness, and ML Fairness. The position also includes researching and implementing techniques for bias detection and mitigation in LLMs and RAG systems, defining key metrics for responsible LLM behavior, and adhering to MLOps best practices for automation, monitoring, scale, and safety. You will also contribute to the MLOps platform and develop safety tools to enhance ML team effectiveness, collaborating with cross-functional teams to address content safety and ML fairness challenges.

$124k - $242k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k