PyTorch Jobs

Sygaldry Technologies is developing quantum-accelerated AI servers to dramatically speed up AI training and inference. By merging quantum computing with AI, the company aims to accelerate the development of superintelligence and ensure its efficient and affordable operation. Their unique approach involves integrating multiple qubit types into a single, fault-tolerant architecture to achieve the necessary cost, scale, and speed for advanced AI applications. Sygaldry is at the forefront of new discoveries in physics, engineering, and AI, tackling complex challenges with a grounded, optimistic, and rigorous culture. They are seeking individuals passionate about defining the future at the intersection of quantum and AI and driving its global impact.

$125k - $145k

NVIDIA is at the forefront of the AI revolution, powering innovations from self-driving cars to intelligent assistants. Join a diverse applied research team focused on building next-generation Conversational AI systems. The team works on novel language models for code and mathematics reasoning, having developed a model that won the latest Kaggle AI MO competition. They also create algorithms to accelerate the training of large models on their GPU cloud and release new models through NeMo, an open-source toolkit for Conversational AI used by numerous companies for applications like customer service and voice assistants. Collaboration extends to research and product teams, as well as leading academic machine learning labs.

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.

NVIDIA is seeking a graduate research intern to advance integrated sensing and communications (ISAC) on GPU-accelerated platforms. The intern will join a team building AI-native wireless systems and develop, train, and test ISAC algorithms end-to-end on the NVIDIA Aerial Testbed. This role is ideal for a student passionate about deep algorithm work and translating ideas into functional systems.

$0k - $0k

Thinking Machines is building AI that extends human will and judgment. We are developing Tinker, a fine-tuning API that empowers researchers and developers to customize frontier AI models. This role focuses on building and enhancing our training systems for Tinker, specifically involving RL systems, numerics, and kernels, to enable users to train models with their own data and algorithms.

$350k - $475k

Genmo is a research lab developing sophisticated video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to focus on alignment and post-training techniques for large-scale video generation models. This role is at the forefront of ensuring our diffusion-based video models reliably produce high-quality, physically accurate, and safe outputs that align with human preferences and values.

Genmo is a research lab focused on developing advanced video world models to understand, simulate, and interact with the physical world, aiming to unlock the right brain of AGI. We are seeking an exceptional Research Scientist to pioneer cutting-edge diffusion models for text-to-video generation. This role involves creating novel architectures and algorithms to transform written descriptions into high-quality, coherent video content, pushing the boundaries of physical intelligence and enabling robots to learn and act in dynamic environments.

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

Cresta is seeking a Senior Machine Learning Engineer to join their team and work across several high-impact AI initiatives. The role involves leading and building next-generation agentic AI systems that augment contact center agents in real time, designing evaluation frameworks to improve the reliability and performance of LLM-powered agents, and architecting/scaling LLM and retrieval-augmented generation pipelines. Final team placement will be determined by experience, strengths, and business needs.

$205k - $270k

Cresta is seeking a Staff Machine Learning Engineer to work on high-impact AI initiatives, focusing on next-generation agentic AI systems that augment contact center agents in real-time. This role involves leading and building these systems, requiring strong ML foundations, deep expertise in LLMs and prompting techniques, and a rapid prototyping mindset to translate research into scalable, production-grade systems. The engineer will also focus on improving the reliability, robustness, and performance of LLM-powered agents by designing evaluation frameworks, diagnosing failure modes, and defining measurable quality metrics. Additionally, the role includes architecting and scaling LLM and retrieval-augmented generation pipelines to process complex data and deliver real-time intelligence.

$230k - $300k

Deepgram is a leading platform for the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and building voice agents at scale. We empower over 1,300 organizations and 200,000 developers to create voice offerings powered by our advanced foundation models, accessible via cloud APIs or self-hosted solutions. Our AI-first approach means every team member is expected to actively use, experiment with, and build AI tools into their daily work, driving innovation and performance. We operate at the rapid pace of AI, requiring adaptability, continuous learning, and a proactive mindset to solve customer challenges and push technological boundaries.

$216k - $338k

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. We are seeking researchers who are passionate about solving customer challenges by improving our AI models. This role involves identifying model limitations, designing evaluations, curating data, fine-tuning models, and shipping solutions to production within weeks. The ideal candidate will have an AI-first mindset, be comfortable experimenting with new AI tools and models, and thrive in a fast-paced, evolving environment.

$216k - $338k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Their platform, Lab, unifies compute, environments, evaluations, and training/deployment for post-training at scale, including SFT, RL, and agent workflows. They are developing open-source models for long-horizon tasks and the platform their research team uses. The company has raised significant funding and is looking for individuals passionate about frontier research, infrastructure, and go-to-market strategies in a nascent category.

$150k - $350k

We are seeking a Senior Forward Deployed Engineer to lead technical engagements with partners and customers, focusing on NVIDIA's open model portfolio. The primary mission is to transform open models into production-ready AI solutions tailored to specific domains, covering the entire lifecycle from post-training to harness optimization. This role involves collaborating closely with NVIDIA's partner ecosystem, co-leading customer engagements, and developing resources that enable partners to scale their AI initiatives. You will work hands-on to build custom AI solutions, from initial customer conversations through to production deployment, ensuring models are optimized for performance and cost-effectiveness.

$184k - $357k

Prime Intellect is building the open superintelligence stack, providing infrastructure for AI labs. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for post-training at frontier scale. We are developing open-source models trained end-to-end for long-horizon tasks like autonomous research, alongside the full-stack platform our research team utilizes. We are seeking individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.

$150k - $350k

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 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

NVIDIA is seeking a passionate Senior Perception Software Engineer to design, develop, and productize autonomous driving solutions. As a member of the perception team, you will build world-class perception solutions, designing and implementing software components. You will be challenged to improve the robustness, efficiency, and reusability of these components, working closely with experienced perception engineers and researchers. This role involves executing the full software development lifecycle, writing well-designed, testable code, and integrating perception software into a functional system. You will also develop verification plans, document and maintain software functionality, and debug existing systems, ensuring alignment with project plans and industry standards. A key aspect of the role is deploying state-of-the-art perception DNN models to embedded platforms and analyzing system performance using benchmark data.

$224k - $357k

NVIDIA is seeking an Engineering Manager to lead the strategy for verifying AI compilers for next-generation deep learning workloads. This role involves managing a technical team focused on AI compiler verification, ensuring the quality of AI compilers that optimize deep learning models for GPU execution. The position requires a deep understanding of compiler quality challenges at the intersection of compilers, machine learning frameworks, numerical computing, formal reasoning, and large-scale systems engineering.

$168k - $322k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k