Openai jobs

Researcher, Trustworthy AI 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 Trustworthy AI team works on action relevant or decision relevant research to ensure we shape A(G)I keeping societal impacts in mind. This includes work on full stack policy problems such as building methods for public inputs into model values and understanding impacts of anthropomorphism of AI. We aim to translate nebulous policy problems to be technically tractable and measurable. We then use this work to inform and build interventions that increase societal readiness for increasingly intelligent systems. Our team also works on external assurances for AI with an aim for increasing independent checks and forming additional layers of validation. About the role We are looking to hire exceptional research scientists/engineers that can push the rigor of work needed to increase societal readiness for AGI. Specifically, we are looking for those that will enable us to translate nebulous policy problems to be technically tractable and measurable. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will enable: - Set research and strategies to study societal impacts of our models in an action-relevant manner

AI Engineer Remote - Nationwide posted: Posted 30+ Days Ago

Principal AI Automation Engineer Bengaluru, India posted: Posted 30 Days Ago

Researcher, Alignment San Francisco, California, United States About the Team The Alignment team at OpenAI is dedicated to ensuring that our AI systems are safe, trustworthy, and consistently aligned with human values, even as they scale in complexity and capability. Our work is at the cutting edge of AI research, focusing on developing methodologies that enable AI to robustly follow human intent across a wide range of scenarios, including those that are adversarial or high-stakes. We concentrate on the most pressing challenges, ensuring our work addresses areas where AI could have the most significant consequences. By focusing on risks that we can quantify and where our efforts can make a tangible difference, we aim to ensure that our models are ready for the complex, real-world environments in which they will be deployed. The two pillars of our approach are: (1) harnessing improved capabilities into alignment, making sure that our alignment techniques improve, rather than break, as capabilities grow, and (2) centering humans by developing mechanisms and interfaces that enable humans to both express their intent and to effectively supervise and control AIs, even in highly complex situations. About the Role As a Research Engineer / Research Scientist on the Alignment team, you will be at the forefront of ensuring that our AI systems consistently follow human intent, even in complex and unpredictable scenarios. Your role will involve designing and implementing scalable solutions that ensure the alignment of AI as their capabilities grow and that integrate human oversight into AI decision-making.

Senior AI Engineer Bengaluru, KA posted: Posted Yesterday

Software Engineer, Collective Communication San Francisco, California, United States About the Team The Workload Networking team is responsible for the collective communication stack used in our largest training jobs. Using a combination of C++ and CUDA we work on novel collective communication techniques that enable efficient training of our flagship models on our largest custom built supercomputers. The models we train are key ingredients to the AI research progress at OpenAI and the field as a whole, and we continually incorporate learnings from our entire research org into our training platform. About the Role As a Software Engineer, Networking you will design and implement custom networking collectives that are tightly integrated into our training stack. We're looking for people who have a background in low level performance critical software. Experience with collective communication is a bonus. 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 role, you will: - Collaborate closely with ML researchers to design and implement efficient collective operations in C++ and CUDA. - Ensure that our largest training jobs take full advantage of the different network transports used in our supercomputers. - Work on simulations to inform our future supercomputer network designs. You might thrive in this role if you: - Have written distributed algorithms using RDMA in the past. - Are comfortable writing low level performance sensitive CPU and/or GPU code. - Are familiar

GTM Enablement Lead India - Remote, India 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 Go To Market team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. We are seeking a GTM Readiness Lead who will be a key player in building the foundational processes and programs to enable our team to achieve this mission. You will build and deliver the programs to accelerate the onboarding of newly hired reps, support customer facing roles to achieve and exceed goals, and elevate the knowledge and skills of our technical team members across our product suite. You will work cross-functionally with product, solution strategists, sellers, marketing, and leadership to build the enablement programs and collateral that will help accelerate the success of our customers and our organization. This role is based in Mumbai, India. In this role, you will: - Define our sales enablement

Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them

Principal AI Engineer (Prisma Browser - Agents Platform) Office - Israel - Tel Aviv posted: Posted 15 Days Ago

Connectivity Software Engineer, Consumer Devices San Francisco, California, United States About the Team The Connectivity Software Engineering team is responsible for enabling seamless, secure, and high-performance wireless connectivity across OpenAI's products. We design and optimize Bluetooth, BLE, Wi-Fi, and emerging wireless technologies to ensure robust device pairing, network performance, and interoperability. Our work spans kernel drivers, system services, and user-level tools, with a focus on real-world performance, scalability, and reliability. About the Role OpenAI is seeking a Connectivity Software Engineer to design, implement, and optimize wireless connectivity features across our product ecosystem. You'll work at the intersection of systems software, wireless standards, and hardware integration-building robust pairing and provisioning flows, debugging low-level protocols, and driving performance under real-world RF constraints. You will also support certification, field interoperability, and fleet-scale connectivity infrastructure. This role is based in San Francisco, CA . We use a hybrid work model of 4 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design, implement, and debug Bluetooth/BLE and Wi-Fi features across kernel drivers, BlueZ/wpa_supplicant/hostapd, and systemd/D-Bus services - Deliver robust pairing, bonding, and provisioning flows (GATT/GAP, LE Audio/LC3, WPA3/802.1X, captive portals, NAN) - Optimize link performance: throughput, latency, jitter, roaming, coexistence (BT↔Wi-Fi), and power modes (TWT, WoWLAN) - Build reliable network management using NetworkManager/nmcli, nl80211/cfg80211/mac80211, DNS/DHCP/mDNS, P2P/SoftAP - Instrument and analyze with packet captures and tooling (btmon/hcidump, Wireshark, iperf, eBPF/perf, spectrum sniffers) - Drive interoperability and certification readiness (Bluetooth SIG, Wi-Fi Alliance) and resolve field

Principal Application Software Engineer United States, US Oracle is seeking an experienced Software Engineer to join a highly skilled team focused on building modern cloud and AI-enabled enterprise solutions. This role is ideal for a developer with strong hands-on experience in Oracle APEX, PL/SQL, Oracle Database technologies, and a solid foundation in full-stack software development. OCI Enterprise Engineering helps drive Oracle's AI transformation by delivering modern enterprise services. Our team builds secure, scalable AI frameworks, platforms, and developer tools that enable applications, empower employees, and improve productivity. This role is ideal for engineering-focused individuals who enjoy solving complex problems and delivering high-impact AI enablement solutions. As a member of the OCI Enterprise Engineering AI Services team, you will help design, develop, and support enterprise AI solutions using Oracle APEX, Oracle Database, PL/SQL, OpenAI tools, and Anthropic AI tools. In this role, you will work on next-generation AI-enabled applications, integrate AI capabilities into business workflows, and contribute to reliable, secure, and scalable software solutions for Oracle's internal enterprise platforms. Design, architect, develop, and operate secure, scalable, highly available enterprise AI-enabled applications and services using Oracle APEX, Oracle Database, PL/SQL, SQL, REST APIs, JSON, JavaScript, and modern full-stack engineering practices. Build reusable enterprise AI frameworks, developer platforms, APIs, orchestration services, and AI accelerators that enable scalable AI adoption across Oracle enterprise applications. Drive the technical design and architecture of enterprise AI solutions, ensuring maintainability, scalability, resiliency, security, observability, and operational readiness. Integrate Generative AI capabilities using OpenAI technologies including GPT models, Assistants

Senior AI Researcher Atlanta, Georgia,United States

Data Center Controls Network Engineer San Francisco, California, United States About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Controls Network Engineer, you will design, validate, and scale the controls and OT network architectures that support high-density AI data centers. You will work across controls systems, OT infrastructure, telemetry, commissioning, deployment, and operations, partnering with mechanical, electrical, IT/networking, security, and external delivery teams. About the Role We are seeking a mid to senior OT Network Engineer with a strong controls systems background to lead the design and operation of resilient, secure, and scalable OT network architectures for high-density AI data centers. This role translates compute, power, cooling, and operational requirements into practical OT network designs, evaluates vendor solutions, and drives technical decisions across controls infrastructure, telemetry, commissioning, and operations. The ideal candidate has strong hands-on experience in mission-critical OT environments, including industrial networking, virtualized infrastructure, and OT network operations, with expertise in routing, switching, segmentation, firewall policy, time synchronization, monitoring, and network lifecycle support. Key Responsibilities - Define controls, automation, and OT network requirements for AI data center campuses. - Develop reference architectures, engineering standards, and reusable design templates. - Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements.

Machine Learning Engineer, Proactive Cupertino, United States of America The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in

Partner AI Deployment Engineer San Francisco, California, United States, New York City About the team The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer's industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner ADE, you'll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the role We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners' time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. This role is based in San Francisco, CA. We use a hybrid work model of

Python with AI Engineering - Vice President PUNE, Mahārāshtra, India

AI Frameworks Engineer - Intern PRC, Shanghai posted: Posted 30+ Days Ago

Senior Software Engineer, Product San Francisco, California, United States About Us: Here at Ambience, we never set out to be just another scribe. We're building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country. Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work. Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America. Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners. We value candor, positivity and deep thought - and we expect a lot from each other because we know the problems we're solving truly matter. Ambience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins - and we're just getting started. The Role: As a Senior Software Engineer on the Product team, you will design and build the features that healthcare providers interact with every single day as they care for patients. As an OpenAI portfolio company, you will be surrounded by

AI Application Engineer India - Chennai posted: Posted Today

Global Head of Benefits San Francisco, California, United States About the Team OpenAI's People team aims to hire, engage, and retain world-class talent who will safely build and deploy universally beneficial Artificial General Intelligence (AGI). The Benefits team is an important subset of the HR team and is responsible for creating and delivering best in class, innovative benefits, and experiences for a rapidly growing employee population, both in and out of the US. About the Role We're looking for a Global Head of Benefits to lead and improve our benefits programs, policies and processes, focusing on the US, EMEA and APAC teams. As part of this role, you'll manage a small team of benefits professionals and support team growth over time. You'll create and drive the design, delivery, and communication of benefit programs, policies and processes to support attracting and retaining talent. Reporting to our VP of Total Rewards, you'll be responsible for designing global benefit constructs, based on statutory and regulatory requirements for multiple countries. You'll partner with the most senior leaders of the company to align benefit philosophy and business strategy. You'll have complete management over the global vendor relationships that span across benefits, retirement, disability and perks. In this role, you will: - Drive Strategic Vision - Lead the design and administration of comprehensive employee benefits programs-ranging from health insurance to wellness initiatives-to ensure our employees feel valued and supported. - Craft Compelling Narratives - Develop and articulate a rewards philosophy that resonates with every level of

Staff AI Engineer | US | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI

Staff Software Engineer (Applied AI) Cupertino, United States of America We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous research) to help us advance our Manufacturing Systems and Operations. You will move fast prototyping ideas and experimenting with new approaches to solve existing problems better. This role will work with and across multiple organizations and functional roles to develop solutions that not only end up in production, but have a significant impact. Some solutions will be stand alone while others will be built on top of existing systems through a deep collaboration. We want someone that has experience taking an idea from the whiteboard to production and then scale it. You are going to get to do that again here. The applications we build are used daily by the people at Apple that design our products along with those that figure out how to make them at scale. This includes; Manufacturing Design Engineers, Product Designers, Mechanical Engineers, Quality Engineers, Supply Chain Managers, along with our Suppliers. We work closely with them to design and architect the best solutions for the challenges faced when making the highest quality hardware products. Minimum Qualifications: 10+ years in a senior role working across the entire tech stack with a skilled team. 10+ years building robust HTTP APIs and backend services Expert level grasp of at least 1 modern programming language: Go (preferred), Python, Java,

AI/ML Engineer IND - TN - CHENNAI posted: Posted 21 Days Ago

Machine Learning Engineer, Chakra Hybrid in Santa Clara, CA HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world's most innovative companies to build strong engineering teams ready for what's next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating. Open Problem An interview that thinks, listens and gets it right every time. Running an interview is easy. Running a good one is hard. Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report