Openai jobs

Sr. Machine Learning Research Engineer, Siri Speech Cupertino, United States of America We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with powerful general capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI! On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You will see your ideas not only published in papers, but also improve the experience of millions of users. As a researcher on our team, you'll help us advance the state of the art in efficient machine learning for speech and multi-modal modeling, with a strong focus on

Product Marketing Lead, Advertising San Francisco, California, United States About the team OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI's products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We're looking for a Product Marketing Lead focused on Advertising to help shape and scale our advertising products and go-to-market strategy. You'll combine strategy, market and customer insight with strong product intuition to guide roadmap priorities, mitigate product risks, and deliver launches and coordinate go-to-markets that drive adoption and measurable business impact. This role is ideal for someone who thrives in ambiguity, enjoys turning complex technical capabilities into clear customer value, and can lead cross-functional work in a fast-moving environment. In this role you will: - Lead market assessment and customer discovery to identify advertiser needs, market trends, and competitive dynamics - Translate insights into clear product requirements, positioning, and go-to-market plans in close partnership with Product and Engineering - Partner with Design, Data Science, and Analytics to define success metrics, measurement

Networking Operating System Firmware Engineer San Francisco, California, United States About the Team OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this

AI Engineer / AI Developer Bangalore, India Office (BANGALORE)

Data and AI Sales Expert Madrid, Spain posted: Posted Today

Application Engineer, Supply Chain Technology San Francisco, California, United States About the Team The Supply Chain Technology team within OpenAI's Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role We are seeking a Senior Application Engineer, Supply Chain Technology to lead the design, implementation, and evolution of our global supply chain systems landscape. This role will serve as a senior hands-on expert across Oracle Fusion SCM, owning solution architecture and implementation inside Oracle while helping define how the broader supply chain technology ecosystem integrates with it. This is a highly cross-functional role that requires deep expertise in Oracle Cloud SCM modules, strong experience implementing solutions through configuration, customization, scripting, and Oracle-native integration capabilities, and the ability to partner closely with Supply Chain, Engineering, Finance, Procurement, and external partners to enable scalable, auditable, and resilient processes. This person will act as the primary Oracle point of contact for engineers building custom applications and external integrations, providing expert guidance on how and when those solutions should integrate with Oracle. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In

Machine Learning Engineer San Francisco, California, United States About Krea At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats-text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This job We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.. Some stuff you can do: - Train foundation diffusion models for image and video generation. - Train controllability modules such as IPAdapters or ControlNets. - Develop novel research techniques and put them into production. - Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets Example experience and skills we're looking for - Proven track record in working with image or video models at scale (publications or open-source contributions a plus) - Strong background in deep learning frameworks and distributed training paradigms. - Ability to iterate rapidly, and propose creative research directions A bit more about us We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

DAQ Station Engineer San Francisco, California, United States About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role We're looking for a DAQ Station Hardware Engineer to develop and improve the physical hardware that goes into OpenAI's robotic data collection stations. This role will design, prototype, validate, and deploy station hardware such as fixtures, mounts, operator interfaces, workcell equipment, safety mechanisms, and other electromechanical systems that support reliable daily operation. You will work closely with Robotics Engineering, Research, Software, and Operations to translate evolving needs into practical hardware solutions that are robust, serviceable, and scalable across an expanding DAQ footprint. What You'll Do - Design and develop station hardware and electromechanical subsystems , including fixtures, equipment mounts, operator-facing hardware, sensing support structures, enclosures, and safety-related components. - Translate program and operational needs into clear hardware requirements, prototypes, and production-ready designs . - Support hardware through the full lifecycle: concept, detailed design, build, test, deployment, issue resolution, and iteration. - Partner with cross-functional teams to ensure station hardware integrates cleanly with robotics platforms, software, data collection workflows, and operator use cases. - Improve station reliability, usability, and serviceability by diagnosing field issues and driving durable engineering fixes.

Senior Full-Stack Software Engineer Remote, South Africa Noodle is higher education's leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected. We are seeking a skilled Senior Full-Stack Software Engineer to help build and scale modern AI-powered web applications. You will play a critical role in enhancing functionality, improving performance, and ensuring scalability and security. As a Senior Full-Stack Engineer, you will: Design, build, and maintain several agent-based web applications built using Next.js, TypeScript, Tailwind CSS, and OpenAI's APIs and Agents SDK. Contribute to existing Python API and web applications using the Flask framework. Develop and improve AI-powered user experiences, including conversational, voice, and streaming interfaces. Modify and refine AI prompts to support new product features. Integrate with external platforms and services such as OpenAI APIs, GraphQL backends, AWS Amplify, MongoDB, and learning management systems using the LTI standard. Architect and implement scalable backend APIs, service layers, and tool execution workflows. Own feature development from technical design through implementation, testing, deployment, and monitoring. Implement automated tests for new functionality. Improve application reliability, observability, and performance using tools such as Sentry, OpenTelemetry, and related monitoring systems. Collaborate with product, design, and stakeholders to translate requirements into high

AI Engineer India Office posted: Posted 9 Days Ago

Generative AI Engineer United States, New York; United States, Remote Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end: you'll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production. This position can be based in our New York office or remotely within the Eastern Time Zone. How You'll Make an Impact Agentic AI Solution Development & Integration Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed. Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. Integrate and optimize LLM APIs across providers

Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Senior Site Reliability Engineer Bengaluru Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. We're a fast-moving AI Security Company building AI-native infrastructure and applications powered by LLMs and autonomous agents. Our stack is deeply integrated with AWS, Kubernetes, and OpenAI-based systems, and we're rethinking reliability in a world where software can reason, adapt, and self-heal. We're hiring a Senior SRE Engineer to own reliability across our cloud-native and AI-driven platform. You'll work at the intersection of distributed systems, Kubernetes operations, and LLM-powered automation, building systems that don't just scale-but think and fix themselves. We're a fast-moving AI Security Company building AI-native infrastructure and applications powered by LLMs and autonomous agents. Our stack is deeply integrated with AWS, Kubernetes, and OpenAI-based systems, and we're rethinking reliability in a world where software can reason, adapt, and self-heal. We're hiring a Senior SRE Engineer to own reliability across our cloud-native and AI-driven platform. You'll work at the intersection of distributed systems, Kubernetes operations, and LLM-powered automation, building systems that don't just scale-but think and fix themselves.

AI Engineer Ramos Arizpe, MX posted: Posted 30+ Days Ago

Advanced Packaging Multi-Physics Modeling Engineer San Francisco, California, United States About the Team: OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. Role Overview: We are seeking a highly motivated engineer to lead multi-physics modeling and simulation for next-generation advanced packaging systems. This role focuses on the co-optimization of thermal, mechanical, and electrical interactions across chip, package, and system levels to enable high-performance AI/HPC advanced packaging solutions. The candidate will collaborate closely with cross-functional engineering teams and external partners to predict and optimize package mechanical, electrical and thermal performance, and system scalability for advanced heterogeneous integration platforms. In this role you will: - Lead multi-physics modeling and simulation across thermal, mechanical, and electrical domains for next-generation AI/HPC advanced packaging systems. - Drive co-optimization of chip, package, and system interactions to improve power integrity, thermal performance, mechanical reliability, and overall package scalability. - Develop and validate electro-thermal-mechanical simulation methodologies for heterogeneous integration platforms including 2.5D/3D packaging, HBM integration, and chiplet architectures. - Perform reliability assessment and root-cause analysis for package warpage, stress, underfill interaction, solder fatigue, electromigration, and thermo-mechanical failures. - Correlate simulation results with silicon,

Machine Learning Engineer II - Core AI/ML Burnaby, British Columbia, Canada Burnaby, British Columbia, Canada

Lead AI Consultant Lisbon posted: Posted 30+ Days Ago

Associate Principal Site Reliability Engineer Bengaluru Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. We're a fast-moving AI Security Company building AI-native infrastructure and applications powered by LLMs and autonomous agents. Our stack is deeply integrated with AWS, Kubernetes, and OpenAI-based systems, and we're rethinking reliability in a world where software can reason, adapt, and self-heal. We're hiring a Staff SRE Engineer to own reliability across our cloud-native and AI-driven platform. You'll work at the intersection of distributed systems, Kubernetes operations, and LLM-powered automation, building systems that don't just scale-but think and fix themselves. We're a fast-moving AI Security Company building AI-native infrastructure and applications powered by LLMs and autonomous agents. Our stack is deeply integrated with AWS, Kubernetes, and OpenAI-based systems, and we're rethinking reliability in a world where software can reason, adapt, and self-heal. We're hiring a Staff SRE Engineer to own reliability across our cloud-native and AI-driven platform. You'll work at the intersection of distributed systems, Kubernetes operations, and LLM-powered automation, building systems that don't just scale-but think and fix

Machine Learning Engineer - Humanoid Robotics China, Shanghai posted: Posted 30+ Days Ago

Senior Director, AI & Architecture (Insurance Industry Experience Required) Tampa, Florida, US The Senior Director, AI and Architecture will lead the strategic vision, design, and execution of enterprise technology architecture and artificial intelligence capabilities across The Baldwin Group. This role is the firm's primary driver in accelerating Baldwin's transformation into an AI-driven organization, owning the design and deployment of an enterprise Agentic AI framework that enables autonomous, multi-step AI agents to operate across core business functions. The Senior Director serves as a trusted partner to executive leadership and business unit leaders reporting to the CTO-Retail, ensuring that data, platforms, and emerging technologies enable scalable growth, operational excellence, and differentiated client experiences. As a transformational technology leader, the Senior Director will advance the firm's digital and AI maturity by aligning architecture strategy with business priorities, fostering innovation, and embedding enterprise standards that power long-term competitive advantage. This leader will be deeply fluent across leading large language model (LLM) ecosystems-including Anthropic Claude, OpenAI GPT, Google Gemini, and Meta LLaMA-and will drive the selection, governance, and optimization of the most appropriate models for Baldwin's regulated, service-driven environment. Primary Responsibilities: Strategic Innovation & Growth • Partner with executive leadership to define and execute an enterprise AI and technology architecture strategy aligned with the firm's mission, vision, and business basics-with a clear mandate to make Baldwin an AI-driven organization. • Scale with Vision: Align data, platforms, security, and enterprise systems to enable sustainable, efficient growth. • Serve as a catalyst for innovation and dreaming-advancing AI,

Account Director, Government Singapore About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You'll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You'll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week. In this role, you will: - Manage a focused set of key government accounts, developing and executing strategies for a comprehensive account plan. - Lead our enterprise prospects' journeys from consideration to successful deployment. - Partner with solutions and research engineering to build and execute complex government customer programs and projects. - Own a

AI Trainer - Advanced Japanese Fluency Remote AI Trainer - Advanced Japanese Fluency About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Advanced Japanese Speakers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $30/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Advanced language skills and verifiable experience as being fluent in Japanese. A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training

Lead Responsible AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago

Technical Lead, Safety Research San Francisco, California, United States About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models and systems. As capabilities continue to advance, it is imperative that our approaches to safety continue to improve and scale to address evolving risks. This is important both for ensuring our systems are robust to prevent harmful misuse as well as ensuring potential misalignment cannot cause harm. We are working on these problems in a way that is grounded in our current models and methods but that generalizes to future systems. We are growing our team to expand our research on methods that will improve safety for AGI and beyond. This will include exploratory research for example, new methods to improve safety common sense and generalizable reasoning, developing new evaluations to elicit or detect misalignment or inner goals of the AI, and new methods to support human oversight of long-running tasks. About the Role As a tech lead, you will be responsible for developing our strategy in new directions to address potential harms from misalignment or significant mistakes. This will in practice include: -