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About the Team The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Applied Foundations team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability. Integrity Foundations provides the core building blocks and infrastructure for this work. About the Role At OpenAI, our mission is to advance AI in a way that is safe, reliable, and aligned with broad societal values. The applied foundations role is crucial for maintaining the trustworthiness of our platforms. You will be pivotal in developing robust defenses against a spectrum of adversarial behaviors that threaten our ecosystem. In this role, you'll work with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and reduce risk across our platform. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner. In this role, you will: Develop and enhance systems to detect and prevent various forms of abuse including financial fraud, botting, and scripting. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. Assist with response to active incidents on the platform and build new tooling and infrastructure that address the fundamental problems. You might thrive in this role if you: Have at least 3 years of professional software engineering experience. Have experience setting up and maintaining production backend services and data pipelines. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are self-directed

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades Supporting research workflows with service frameworks and deployment systems Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. 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: Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. Interface with researchers and product teams to understand workload requirements Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: Have experience with hyperscale compute systems Possess strong programming skills Have experience working in public clouds (especially Azure) Have experience working in Kubernetes Execution focused mentality paired with a rigorous focus on user requirements As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI resea

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 Oversight Research team aims to fundamentally advance our capabilities to maintain oversight over frontier AI models, and leverage these advances to ensure OpenAI’s deployed models are safe and beneficial. This requires a breadth of new ML research in the areas of human-AI collaboration, reasoning, robustness, and scalable oversight to keep pace with model capabilities. We invest heavily in developing novel model and system-level methods of identifying and mitigating AI misuse and misalignment. Our goal is to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with a passion for AI safety and experience in safety research. Your role will set directions for research to maintain effective oversight of safe AGI and work on research projects to identify and mitigate misuse and misalignment in our AI systems. You will play a critical role in defining how a safe AI system should look in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Develop and refine AI monitor models to detect and mitigate known and emerging patterns of misuse and misalignment. Set research directions and strategies to make our AI systems safer, more aligned, and more robust. Evaluate and design effective red-teaming pipelines to examine the end-to-end robustness of our safety systems, and identify areas for future improvement. Conduct research to improve models’ ability to reason about questions of human values, and apply these improved models to practical safety challen

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer

About the Team Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. About the Role As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinpoint where the model helps or hurts across languages and tasks. Your insights will directly shape how an entire industry builds software. 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 Embed with the Codex product team to discover opportunities that improve developer outcomes and growth Design and interpret A/B tests and staged rollouts of new coding models and product features Define and operationalize metrics such as suggestion acceptance, edit distance, compile/test pass rates, task completion, latency, and session productivity Build dashboards and analyses that help the team self-serve answers to product questions (by language, framework, repo size, task type) Diagnose failure modes and partner with Research on targeted improvements (model quality signals, user feedback, evals) You might thrive in this role if you have 5+ years in a quantitative role at a developer-facing or high-growth product Fluency in SQL and Python; comfort with experiment design and causal inference Experience defining product metrics tied to user value Ability to communicate clearly with PM, Eng, and Design—and to influence product direction You could be an especially great fit if you have Strong programming background; ability to prototype, run simulations, and reason about code quality Familiarity with IDE/extensi

About the Team The RL and Reasoning team drives the core reasoning paradigm and has created groundbreaking innovations such as o1 and o3. They focus on pushing the boundaries of reinforcement learning research, building next-generation generative models, and deploying them at scale. About the Role As a Research Engineer/Research Scientist at OpenAI, you will advance the frontier of AI alignment and capabilities through cutting-edge RL methods. Your work will sit at the heart of training intelligent, aligned, and general-purpose agents, including the systems that power various models. We’re looking for people who have a background in reinforcement learning research, are able to iterate quickly, and are proficient at coding. 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. You might thrive in this role if: You love being on the cutting edge of RL and language model research. You’re a self-starter who takes initiative and ownership of ideas, driving them to completion. You value principled approaches, simple experiments in tightly-controlled settings, and reaching trustworthy conclusions which stand the test of time. You thrive in a fast-paced, dynamic, and technically complex environment where rapid iteration is key. You’re comfortable diving into a large ML codebase to debug and improve it. You have a deep understanding of machine learning and machine learning applications. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the ful

About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing multimodal data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We’re looking to advance how OpenAI prepares, curates, synthesizes and understands multimodal data at scale. You’ll work on research and production problems like synthesizing multimodal content (images, audio, and video) and their supervisions, improving noisy data pipelines, building better quality filters, using models to automate data prep, and measuring whether changes in the dataset improve model performance. We Expect You To Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. Own and drive a research agenda, from choosing the right multimodal data problems to carrying long-running work through to impact. Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have Experience with multimodal learning, audio, vision, video, synthetic data, or data-centric ML. Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and partner deeply with safety researchers, alignment researchers, and cross-functional teams to shape how OpenAI’s safety research is understood by researchers, journalists, policymakers, and the broader public. This position is responsible for developing and executing external communications strategies around OpenAI’s safety research—from alignment and evaluations to broader work that helps advance the safe development and deployment of increasingly capable AI systems. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience helping researchers communicate complex work with clarity, accuracy, and nuance. You will partner closely with research leadership, individual researchers, policy, product, safety, legal, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, public understanding, and high-stakes safety narratives intersect. This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available. In this role, you will: Shape Safety Research Narratives Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI. Translate complex technical work into accessible stories without oversimplifying, overstating impact

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Vice President, Enterprise Risk is a senior enterprise leader who advances a strong, transparent risk culture across Dun & Bradstreet. This role partners across the business to identify, assess, monitor, and mitigate material risks within the company’s risk appetite, spanning strategic, operational, technology, cyber, data, financial, international, reputational, and compliance dimensions. The role combines deep enterprise risk expertise with strong business judgment, executive communication, and change leadership to strengthen resilience, support growth, and protect Dun & Bradstreet’s legacy of integrity and trust.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Vice President, Enterprise Risk is a senior enterprise leader who advances a strong, transparent risk culture across Dun & Bradstreet. This role partners across the business to identify, assess, monitor, and mitigate material risks within the company’s risk appetite, spanning strategic, operational, technology, cyber, data, financial, international, reputational, and compliance dimensions. The role combines deep enterprise risk expertise with strong business judgment, executive communication, and change leadership to strengthen resilience, support growth, and protect Dun & Bradstreet’s legacy of integrity and trust.

About Us Paytm is India’s leading digital payments and financial services company, focused on driving consumers and merchants to its platform through a wide range of payment and financial solutions. Paytm enables consumers with services such as utility payments, money transfers, and digital commerce, while offering payment instruments including Paytm Wallet, UPI, Paytm Payments Bank Netbanking, FASTag, and Paytm Postpaid (Buy Now, Pay Later). For merchants, Paytm provides acquiring and payment solutions such as Soundbox, EDC, QR, and Payment Gateway services, enabling seamless payment acceptance across online and offline channels. About the Team The team is part of Paytm’s Merchant Lending vertical and is responsible for driving merchant loan and merchant cash advance businesses across India. The team plays a key role in enabling merchant growth through financial inclusion and credit accessibility. Role Overview We are looking for a dynamic and execution-oriented Process Trainer to support the Merchant Lending business. The role involves designing and delivering engaging learning experiences, building scalable capability programs, and driving learning effectiveness across the Lending Merchant ecosystem. The ideal candidate will work closely with business stakeholders and Subject Matter Experts (SMEs) to simplify complex domain knowledge into impactful learning content and training interventions. The role will also focus on digitization of learning content and strengthening capability-building initiatives across teams. Key Responsibilities Learning Partnership & Capability Building Act as the Learning Partner for the Merchant Lending business, demonstrating strong domain understanding. Build and strengthen the Lending Merchant Training function focused on capability development, SOP effectiveness, and learning engagement. Identify business capability gaps and design behavioral and functional training interventions. Content Development & Training Delivery Develop e

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: This team is part of the Merchant Lending vertical and caters to the Merchant loans section. They have the ownership of merchant cash advance sales. About the role: This is a B2C Sales role that requires a high level of people management, training, grooming the field sales executives and generating revenue, and driving P/L and growth for the assigned region. Expectations/ Requirements 1. Responsible for the MCA Sales in the city. 2. Manage an assigned geographic sales area to maximize sales target and meet corporate objectives. 3. Build and maintain relationships with key client personnel. 4. Manage Category leads from qualification to closure. 5. Ensure the team members are present in a market where sales & usage are done regularly. 6. Should have good networking capabilities and be willing to travel extensively throughout their specified areas. 7. Ensure monthly submissions and Disbursals numbers are being met. 8. New FSE hiring, training and handholding. 9. Ensure attrition is under control and Team is motivated/guided to perform better. Superpowers/ Skills that will help you succeed in this role 1. 5-10 years of relevant experience in Sales, Business Development and relationship building. 2. Ability to handle a team 3. Good communication skills 4. Good understanding of MS Office tools. 5. Growth Mindset 6. Willingness to experiment and improve continuously Education- Must have completed his graduation Why join us 1. A collaborative output driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell op

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: This team is part of the Merchant Lending vertical and caters to the Merchant loans section. They have the ownership of merchant cash advance sales. About the role: This is a B2C Sales role that requires a high level of people management, training, grooming the field sales executives and generating revenue, and driving P/L and growth for the assigned region. Expectations/ Requirements 1. Responsible for the MCA Sales in the city. 2. Manage an assigned geographic sales area to maximize sales target and meet corporate objectives. 3. Build and maintain relationships with key client personnel. 4. Manage Category leads from qualification to closure. 5. Ensure the team members are present in a market where sales & usage are done regularly. 6. Should have good networking capabilities and be willing to travel extensively throughout their specified areas. 7. Ensure monthly submissions and Disbursals numbers are being met. 8. New FSE hiring, training and handholding. 9. Ensure attrition is under control and Team is motivated/guided to perform better. Superpowers/ Skills that will help you succeed in this role 1. 5-10 years of relevant experience in Sales, Business Development and relationship building. 2. Ability to handle a team 3. Good communication skills 4. Good understanding of MS Office tools. 5. Growth Mindset 6. Willingness to experiment and improve continuously Education- Must have completed his graduation Why join us 1. A collaborative output driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell op

Engineering Manager - Backend About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: As a Engineering Manager, you will help define the technical design and implementation roadmap across multiple solutions and will work with engineering leadership to ensure we resource and equip our squads with the right expertise to deliver those solutions. Requirements: 8 to 12 years of strong software design/development experience in building massively large scale distributed internet systems and products Hands on experience in Advance Java, Spring boot, AWS, Node, Agentic AI, LLM, RAG, Cursor, Copilot Experience and knowledge of open source tools & frameworks, broader cutting edge technologies around server side development Should be an active contributor to developer communities like Stack overflow, Top coder, Git hub, Google Developer Groups (GDGs). Superior organization, communication, interpersonal and leadership skills. Must be a self-starter who can work well with minimal guidance and in fluid environment. Preferred Qualifications : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Expertise in Java, DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS Strong experience in scaling, performance tuning & optimization at both API and storage layers Probl

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: This team is part of the Merchant Lending vertical and caters to the Merchant loans section. They have the ownership of merchant cash advance sales. About the role: This is a B2C Sales role that requires a high level of people management, training, grooming the field sales executives and generating revenue, and driving P/L and growth for the assigned region. Expectations/ Requirements 1. Responsible for the MCA Sales in the city. 2. Manage an assigned geographic sales area to maximize sales target and meet corporate objectives. 3. Build and maintain relationships with key client personnel. 4. Manage Category leads from qualification to closure. 5. Ensure the team members are present in a market where sales & usage are done regularly. 6. Should have good networking capabilities and be willing to travel extensively throughout their specified areas. 7. Ensure monthly submissions and Disbursals numbers are being met. 8. New FSE hiring, training and handholding. 9. Ensure attrition is under control and Team is motivated/guided to perform better. Superpowers/ Skills that will help you succeed in this role 1. 5-10 years of relevant experience in Sales, Business Development and relationship building. 2. Ability to handle a team 3. Good communication skills 4. Good understanding of MS Office tools. 5. Growth Mindset 6. Willingness to experiment and improve continuously Education- Must have completed his graduation Why join us 1. A collaborative output driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell op