It Support Engineer in United States

About the Team The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments. About the Role We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other sensors. You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems. This role is based in San Francisco. We work in the office three days per week and offer relocation assistance. In this role, you will: Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals. Explore how specialized perception models and larger multimodal models can work together. Design data, training, and evaluation approaches that improve performance in real-world conditions. Study model behavior, robustness, and failure modes across sensing, data, and deployment environments. Integrate and validate new capabilities in real-time or resource-constrained systems. Work with hardware, firmware, software, and product teams to turn research into working systems. You might thrive in this role if you: Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. Have experience developing specialized machine learning models, larger multimodal models, or both. Have brought research ideas into practical systems, prototypes, or products. Know how to design experiments, build evaluations, and investigate model behavior. Have wo

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. About the Team Plaid’s Fintech Sales team is responsible for our relationships with some of the most important and fastest-growing companies in financial services. Many of these companies have long-standing relationships with Plaid, and this team’s mandate is to deepen those partnerships — expanding product adoption, enabling customer growth, and ensuring Plaid remains the infrastructure provider of choice as these customers scale. About the Role You will lead an established, high-performing team of Territory Account Executives who manage Plaid’s fast-growing fintech accounts. This is not a greenfield build — it’s a team with real momentum, strong customer relationships, and meaningful revenue. The opportunity is to raise the bar further: strengthen Plaid’s market-leading position in fintech by driving deeper product adoption across existing accounts, winning strategic new logos, and developing the AEs on your team into consistently elite performers. The primary motion is new logo acquisition. The majority of your AEs’ accounts don’t yet use Plaid — the job is to secure those new logos and grow existing relationships through new products, new use cases, and new business units. You’ll be in deals wit

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product. Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunit

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Sr. Machine Learning Engineer at tvScientific, you'll build the ML and AI systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advert

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . About the Team: Hundreds of millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development to power the platform. Labs works across a broad variety of AI/ML initiatives, including LLMs/VLM, agent design, core computer vision, multimodal representation learning, visual generative modeling, recommender systems, graph learning, and more. This is the group that develops the foundation AI models that fully leverage the hundreds of billions of Pins and the associated knowledge graphs, and ships new product capabilities to fully utilize these technologies. We are curre

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Platforms TPM organization partners with Experimentation, ML, LLM/GenAI, and Data Infrastructure teams to shape how Pinterest measures everything that matters — from product experiments to AI systems to the platforms everyone builds on. What you'll do: As a Staff Technical Program Manager for Measurement, you'll have the rare opportunity to shape how a company the size of Pinterest measures itself — turning a portfolio spanning experimentation, machine learning, generative AI, and data infrastructure into one coherent, high-impact program. Drive Pinterest's experimentation roadmap — accelerating how confidently and quickly teams can test, learn, and ship new ideas at scale. Own the program driving cost and compute efficiency across our ML systems, and help scale data science workflows into production-grade tooling. Lead cost optimization and

Join the engineering teams that bring OpenAI’s ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic-testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU, storage, GPU, and network lifecycle management to drive efficiency, accountability and dynamic optimization of our resources. Implement fault-tolerant and resilient design

# Best Email Phishing Simulation Services Email remains one of the most common ways cybercriminals target organizations. Attackers use convincing messages to trick employees into clicking malicious links, opening harmful attachments, sharing credentials, or transferring sensitive information. Even with firewalls, antivirus solutions, and security monitoring in place, one successful phishing email can create a serious security incident. **Email Phishing Simulation Services** help organizations measure employee awareness and strengthen their ability to recognize and report suspicious messages. ## What Is Email Phishing Simulation? Email phishing simulation is a controlled security awareness exercise that recreates realistic phishing scenarios without exposing employees to actual malicious activity. Authorized security professionals design simulated phishing emails based on common attack techniques and send them to selected users according to an approved testing plan. The objective is not to blame employees. Instead, it is to understand how users respond to realistic threats and identify areas where additional security awareness training may be required. A well-designed simulation can test responses to credential-harvesting emails, fake password-reset notifications, suspicious invoices, delivery alerts, account warnings, and other social engineering scenarios. ## Why Phishing Simulations Are Important Technology alone cannot completely prevent phishing attacks. Cybercriminals continually improve their techniques, making fraudulent messages increasingly difficult to distinguish from legitimate communications. Regular phishing simulations can help organizations: * Measure employee phishing awareness. * Identify users who may require additional training. * Test reporting and response procedures. * Improve recognition of suspicious emails. * Reduce the likelihood of credential theft. * Strengthen the organization's security culture. * Track awareness improvements

Salary range - $250k - $350k | Equity - up to 0.5% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Research Engineer to own problems end to end across our models, inference service, and product. You won't just train a model and hand it off. You'll take it from training through benchmarking, into our inference stack, and work with the team to integrate it into our products. We're a small team that has shipped the current state of the art OCR model, Chandra. Our models collectively have 70k+ Github stars. Our tools are used internally at frontier AI labs like Anthropic, and Fortune 500 enterprises like Siemens. Our team focuses on training small, efficient models that outperform much larger LLMs on domain-specific tasks (like OCR, structured extraction, tables). We move fast, prioritize practical results, and build tools that are open, reproducible, and built to last. You'll test hypotheses quickly, iterate on results, and balance experimental rigor with shipping to customers. Day to day: A typical project might look like: identify a gap in extraction quality on long documents, train and benchmark a new model, optimize it for inference, and work with the team to ship it to users. Concretely: Train and evaluate models: Train task-

Salary range: $300k - $350k | Equity: 0.4% - 0.6% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for an engineering lead to guide our team while staying hands-on in the code. You'll set the technical direction and standards for how we build the interfaces, tools, and infrastructure behind our OCR, extraction, and document-understanding systems. This includes everything from optimizing agent loops and interfaces to helping to speed up inference. This is a player-coach role. You'll manage and grow a team of three engineers, own engineering delivery and quality, and spend a large share of your time writing code - focused on architecture, infrastructure, and the hard problems rather than routine feature work. You’ll partner closely with the research team to define the handoff between experimentation and production. As a small and fast-moving team, roles are fluid and ownership is high. You'll work directly with the founder to set priorities, ship features, and make our technology accessible to a global community of builders. Day to day, you will: Manage and grow a team of three engineers - 1:1s, prioritization, feedback, and hiring as we scale. Own engineering delivery, quality, and technical standards across code, testing, infrastruct

Salary range: $225k - $300k | Equity: 0.15% - 0.35% | In-Person: NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We’re at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, Chandra, Surya, Marker, and Lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We’re looking for a fullstack engineer who wants to build the interfaces, tools, and infrastructure that help developers and enterprises use our models. You’ll work across the stack to shape how people interact with OCR, extraction, and document-understanding systems. That includes building core inference workflows, creating intuitive UI for complex parsing tasks, and improving the developer experience across our open-source repos and API. This is a high-ownership role that blends engineering, product thinking, and community engagement. You will work closely with the founders and the rest of the team to ship features, improve performance, and make our technology accessible to a global community of builders. As a small and fast-moving team, roles are fluid. You should enjoy working across backend, frontend, performance, and user-facing surfaces. Your work will directly influence how teams evaluate and deploy our models. Day to day, you will: Ship features to our open source repos, API, and internal tooling. Design and build frontend features that make document parsing more interactive and understandable. Optimize inference performance and improve th

Base — $160k – $180k | OTE — ~$230k – $255k | Equity — 0.3% | In-person NYC About Datalab Datalab trains models that read documents reliably at scale. The world's most important information is trapped in PDFs, scans, and files that can't easily be parsed, and getting it out correctly matters. From frontier AI labs processing training data to Fortune 500s like Siemens extracting decades of engineering records, Datalab is where businesses turn to when extraction has to be right. We're at an 8-figure run rate with a team of 7. Anthropic is a customer. And we have hundreds more across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools, chandra, surya, marker, and lift, have 70,000+ GitHub stars and broad developer mindshare. We're backed by founding members of OpenAI, FAIR, and Hugging Face. Role Overview We're looking for a Founding Customer Success Manager to own the relationship with our enterprise customers after they sign. You'll be accountable for adoption, retention, and growth — making sure customers get real value from our models, stay for the long run, and expand their usage over time. You'll be the face of Datalab for every account you own: their trusted advisor, their first call when something matters, and the person keeping their goals moving forward. You will be the commercial and relationship manager who owns the account strategy after a deal has been signed. You'll orchestrate the right people internally so the customer always feels progress. You'll know the product and the customer's architecture well enough to lead most conversations yourself, and you'll pull in Engineering when an account needs it. We also have a long tail of self-serve customers using our API. Many are strong candidates to expand into enterprise contracts, and you'll own that self-serve → enterprise motion end to end — from spotting high-potential accounts to closing the upgraded contract. This role is ideal for someone who thrives at the intersection of c

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Passport & Commerce builds the trusted account and commerce foundation that lets anyone, anywhere, become part of the Airbnb community — from their first sign-up, through the profile and connections they build, to every booking, benefit, and business transaction along the way. We're a newly formed org within Guest & Host that brings together identity and commerce foundations under one roof. Our mission is to move Airbnb beyond the transaction — building a world where accounts create trust, value sticks, and the benefits our community earns travel with them, and their businesses, wherever they go. You'll work closely with Payments and Wallet engineering, Identity & Privacy, Profile & Community, and Guest & Host product, design, and data science partners as we stand up this team's roadmap and technical foundations. The Difference You Will Make: As a Senior Software Engineer on the iOS team within Passport & Commerce, you will build the iOS experiences that bring various account features to life for millions of guests and hosts. You'll own complex features end-to-end, from technical design through launch, working closely with your backend, Android, and design counterparts. Success in this role looks like shipping reliable, performant iOS experiences that reach parity with our Android and web surfaces, establishing patterns other engineers build on as the iOS presence for this team grows, and becoming a trusted technical voice for iOS within Passport & Commerce. A Typical Day: Design and build iOS features using modern, declarative UI and unidirectional state

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb’s Legal Department is a global team that will require working with diverse international colleagues around the world. The successful candidate will be someone who is adaptable, collaborative and embodies Airbnb’s Core Values. Candidates will be required to approach complex legal issues with a balance for local and global perspectives, while being adaptable to cultural differences and nuances. A genuine and demonstrated interest in Airbnb and a commitment to ethics, integrity and fostering a workplace that emphasizes diversity and belonging is a must. The Community You Will Join: Airbnb’s Legal team embodies the company’s innovative, forward-thinking spirit. At the frontier of the new sharing economy, Airbnb is breaking new ground in matters of policy, law, and government relations. Where some see obstacles, we see the opportunity to find creative, practical solutions, right at the cutting edge. Our adventurous, fast-moving legal team is committed to building a team of talented, collaborative and self-motivated legal professionals across the globe who believe in Airbnb’s mission and leading as a 21st century company. The Difference You Will Make: Airbnb is looking for an experienced litigator to join our Risk and Regulatory group. Reporting to Airbnb's Lead Counsel, Litigation, Risk and Regulatory, the Senior Counsel, Litigation will own high-stakes disputes, investigations, and strategic counseling from first assessment through resolution, directing outside counsel and shaping our approach at every stage. This role is for you if you work well with business partners, bring a steady and positive presence,

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Imagine getting off a long international flight, standing in the freezing rain, attempting to contact your Airbnb host, only to realize that they are not responding because the Airbnb that you booked was not real. The Listing Integrity team’s ultimate goal is to prevent experiences like this by proactively detecting and removing fraudulent listings (Homes, Experiences, and Services) so that guests can search and book on Airbnb with confidence. The team uses data driven heuristics, machine learning models, and customer service operations in order to accomplish this goal. The Difference You Will Make: As a Software Engineer on the Listing Integrity team, you will be working with data scientists, designers, product managers, and customer service operations to innovate new ways we can stop bad actors in the ever evolving fraudulent listing creation and financial losses associated with it by collaborating across team boundaries. On this team, you must have the curiosity to dig deep into various end to end systems in order to understand how and where the fraud occurs. Your curiosity will be rewarded with finding projects that have outsized impacts on decreasing fraud losses and protecting Airbnb users from bad experiences while on vacation. A Typical Day: Work with large scale back end systems to detect fraudsters, using rules and connecting to productionalized machine learning models. Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations and data scientists, identify opportunities for business impact, und