PyTorch Jobs
319 open roles mentioning PyTorch
Senior Applied ML Engineer
CoreWeave
The CRAFT (Capabilities, Routing, Adaptation & Fine-Tuning) team at CoreWeave is focused on developing tools that enable AI agents to learn from experience, a crucial step towards autonomous long-task execution. The team has already released innovative projects like ART for RL, RULER for reward functions, and Serverless RL for infrastructure management. They are now tackling remaining challenges in agent training, such as reducing human labor in environment creation and improving data efficiency. This role offers a significant opportunity to contribute to hard-tech advancements in a rapidly growing market, with the potential to shape the future of self-improving AI agents.
$182k - $242k
Senior Forward Deployed Engineer, AI Agents
CoreWeave
As a Senior Forward Deployed Engineer (FDE), you will work directly with customers, embedding within their AI teams to help them build and deploy successful AI agents using the W&B Weave developer toolkit. This is a hands-on, customer-facing engineering role for individuals who thrive in high-impact environments, enjoy solving open-ended technical problems, and want to shape how leading organizations build with AI.
$182k - $242k
Software Engineer, Imagine Model
xAI
As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content. Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.
$180k - $440k
Software Engineer, Voice Model
xAI
You'll join the Grok Voice Model team as a software engineer. You'll design, build, and run the software systems behind Grok Voice, which delivers natural, low-latency, multilingual spoken interactions across devices and in real time. The team owns the full engineering stack behind the model, from large-scale data processing to distributed training to production deployment.
$150k - $450k
AI Native Software Engineer
Accenture
We are seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. This role involves leading AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments.
AI Native Software Engineer
Accenture
We are seeking a forward-thinking AI Native Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role involves building and shipping production-ready software where AI is a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The ideal candidate will have a strong focus on hands-on development and practical solution design, with robust experience in .NET Core, MVC, and Python, and a foundational understanding of AI integration.
AI Native Software Engineer
Accenture
We are seeking a forward-thinking AI Native Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role involves building and shipping production-ready software where AI is a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The ideal candidate will have a strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks, aligning AI capabilities with business objectives for scalability and tangible value realization.
AI Native Software Engineer
Accenture
We are seeking a forward-thinking AI Native Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role involves building and shipping production-ready software where AI is a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The ideal candidate will have a strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks, aligning AI capabilities with business objectives for scalability and tangible value realization.
Lead Machine Learning Engineer
Salesforce
Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.
$173k - $260k
Senior High-Performance LLM Training Engineer
nvidia
NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads. This role focuses on optimizing NVIDIA’s high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs. You will also help shape hardware roadmaps for the next generation of GPUs powering the AI revolution. This is an opportunity to collaborate with forward-thinking individuals and shape the future of AI in a creative and autonomous work environment.
$184k - $357k
Senior Systems Performance Engineer
nvidia
NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement sophisticated automated test plans for our leading GPU-accelerated computing products. You will be instrumental in ensuring the performance and reliability of cutting-edge AI hardware by developing and tuning workloads, adapting state-of-the-art AI training and inference frameworks, and applying architectural analysis to characterize workload behavior and identify bottlenecks. This position offers the opportunity to make a significant impact on the future of computing by working on AI-driven technologies.
$136k - $259k
ML Ops DSX Senior Engineer
nvidia
NVIDIA is seeking an NCX Senior Engineer to join our DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, intricate distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments. We partner with the world's most innovative AI companies to address their most challenging technical problems. In this role, you will develop innovative solutions that advance AI infrastructure capabilities and directly influence customer success with breakthrough AI initiatives.
$184k - $357k
DSX NVCRE Senior Engineer
nvidia
NVIDIA is seeking a Senior Software Engineer to join our DSX team. You will build and operate tooling that verifies AI infrastructure readiness for production, focusing on cluster readiness and certification software. This includes working with the open-source Cluster Readiness Engine to validate GPU clusters across Kubernetes and Slurm, measure training and inference performance, and produce trustworthy evidence for customers and partners. You will collaborate with leading AI companies and cloud providers to ensure their infrastructure performs as designed for critical workloads.
$184k - $357k
AI Native Software Engineer
Accenture
We are seeking a forward-thinking AI Native Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks. This role involves applying AI-native practices to build and validate solutions, maintain quality and compliance, and continuously improve software development and operations. The ideal candidate will have a strong focus on hands-on development and practical solution design, with robust experience in .NET Core, MVC, and Python, and a foundational understanding of AI integration.
Snowflake Advanced AI Engineer
Accenture
Accenture is seeking an Advanced AI Engineer to design, build, and operationalize AI and machine learning solutions for enterprise clients. This role involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. You will manage the full solution lifecycle, from assessing client needs and data to selecting and customizing models, designing scalable data and MLOps/LLMOps pipelines, and ensuring the quality and reliability of deployed systems. This is an opportunity to work in a digitally driven, innovation-led environment on cutting-edge projects within our Global Agentic Center of Excellence.
$70k - $206k
AI/ML Computational Scientist Manager (All Genders)
Accenture
As an AI/ML Computational Scientist Manager, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will encompass the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems. This position requires formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions, and engaging in research and development of new AI and high-performance compute algorithms.
AI Native Software Engineer
Accenture
We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. AI Powered Tech Talent
AI Native Software Engineer
Accenture
We are seeking a dynamic Mid-Level Application Architect / Senior Developer with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. You will lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
AI Native Software Engineer
Accenture
We are seeking a dynamic Mid-Level Application Architect / Senior Developer with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. The position involves building and shipping production-ready software using AI as a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
AI Native Software Engineer
Accenture
We are seeking a dynamic Mid-Level Application Architect / Senior Developer with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. The position involves building and shipping production-ready software using AI as a core part of the engineering lifecycle, applying AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.
