Machine Vision And Aoi Sr Engineer Jobs

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the wo

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics Team Who You Are You’re a data scientist with experience in building and deploying machine learning solutions for complex, and sometimes ambiguous, business problems. You have worked end-to-end on the ML model lifecycle, from early data discovery and analysis to deploying and maintaining models in production. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business. Justworks is looking for a Senior Data Scientist to join our ML group within the Data & Analytics team. You'll primarily partner with Product and Engineering to identify and frame domain-specific use-cases as data science problems, prototype and evaluate the appropriate technical solutions, and work with our Machine Learning Engineers to deploy them into production and maintain them. Your Success Profile What You Will Work On Lead end-to-end machine learning and data science projects: Partner with product and engineering leaders to identify and scope new data science use-cases within their domains such as Risk &

This role is intended for current high school students graduating in 2027 or later. Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier, from solo founders to established enterprises, united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe do not tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many, especially t

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar is on the lookout for a talented Game Security Analyst who possesses a passion for player security. As a Game Security Analyst you will be a frontline defender committed to ensuring our games and services remain secure and enjoyable by protecting against cheaters, exploits, and account compromise. In this dynamic role you'll work closely with other engineering and product teams to detect, analyze, and mitigate threats to the player experience and stay ahead of evolving attack vectors. This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Dundee, Scotland. WHAT WE DO The Game Security team is responsible for protecting our players, our games, and intellectual property from malicious actors. We work across multiple disciplines to detect, deter, and disrupt threats impacting the player experience. We work closely with other teams to enforce, support, and improve security solutions. RESPONSIBILITIES Analyze and respond to threats including cheats, exploits, account takeovers, and intellectual property (IP) abuse. Fine-tune and support anti-cheat measures and in-game abuse prevention systems. Perform security assessments of game features and enforcement policies. Investigate security incidents, analyze telemetry, and recommend mitigations related to cheating and fraud. Collaborate with cross-functional teams to improve security controls and detection. Monitor cheat trends, automate detection and enforcement workflows, and enhance account security posture. REQUIREMENTS 3+ years professi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Pro

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user i

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Build the 26th We promise the world 25 new products a year. Unit 26 builds the 26th: SharkNinja itself. Inside a company moving as fast as ours, the highest-impact work doesn’t always fit neatly into anyone’s job description. It sits between functions and stays unsolved until someone owns it completely, builds the solution, proves its value, and ships it. That’s where Unit 26 comes in. Unit 26 is a small team of builders reporting to the Chief of Staff to the CEO, with executive sponsorship and access to the C-suite from day one. Our job is to solve problems that don’t have an obvious owner or an existing solution. When your build ships, you hand it to the business unit waiting on the other side and move to the next one. Zero to one, again and again. We’re starting with just eight builders, from inside SharkNinja and out. The Role You’ll w

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including: How do we improve the quality of our map data in order to improve our recommendations? How do we benchmark and measure the success of our services? How do we validate features of the real world that affect our routing algorithms? Are we meeting our travel estimation promises to our customers? Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, as well as rider and driver experience Identify and drive impact and alignment, shaping product and business strategy

Zoox is developing state-of-the-art autonomous vehicle software for our purpose-built vehicle. We believe that developing the end-to-end product will not only help us scale our services but will also result in a superior customer experience. In this role, you will build and operate the continuous deployment platform that carries changes from merge to production. You will own both the platform and its adoption: building the paved path that every production change travels on and working directly with application teams to move them onto it. We are looking for an engineer who is opinionated about what the right path looks like, who has the judgment to decide where to hold the line and where to leave room for the team, and who has a strong bias toward execution. This is a critical role to remove friction from our release process, improve the deployment experience for everyone in the software organization, and ultimately help us scale our autonomous vehicle fleet to more riders and more cities. In this role, you will: Own the reliability and operational excellence of our deployment platform Build and own the paved path for continuous delivery, and own the safety net that makes the platform trustworthy Work cross-functionally with application teams and SRE to move services onto the paved path, turning recurring friction into platform capability rather than one-off support Set the technical bar for how code is shipped safely to production, and mentor the engineers around you Qualifications 5+ years of software engineering experience, including significant experience in platform, infrastructure, or production operations Hands-on experience with a continuous deployment system in a large organization, Harness preferred; ArgoCD, Spinnaker or other relevant systems Hands-on experience with Kubernetes and container-based deployments Expertise wit

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our Robotaxi including onboard AI systems running Autonomy software. This team develops platform-level software and services, including custom operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including other software developers, hardware engineering, release management, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 4+ years delivering embedded software for production systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U-Boot Be familiar with Linux init systems (e.g., systemd), containerization concepts (e.g., chroot, cgroups, Linux namespaces), and filesystems Understand device drivers and kernel-space code and proficiency in a language without automatic memory management (e.g., C or C++), and in multiple scripting languages like bash and Python S

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Fraud team at Affirm Bank works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform. This role requires abundant cross-functional partnership. This individual will be the representative of the Credit Risk org, leading the charge on refining our Identity Verification and Fraud processes as well as our Application flow. Additionally, this role will work closely with the Product and Engineering teams to improve our Fraud solution. Come join us in our mission to change consumer finance through better technology, lower costs, and increased transparency while providing the best customer experience. What You'll Do This role will take charge of owning fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics Data Pipeline, Analytics & Monitoring Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data. Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency. Develop recurring dashboards, scorecards, and monitoring frameworks to provide clear visibility into fraud performance, portfolio health, and emerging risks. Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes, translating findings into actionable recommendations. Fraud Strategy Building & Optimization Develop and optimize fraud rules, policies, thresholds, models, and decision strategies

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Pro

About the Team DoorDash is one of the world’s leading on-demand logistics platforms. Across DoorDash, Deliveroo, and Wolt, our operations span more than 40 countries, dozens of offices, and tens of thousands of employees.Global Safety and Security helps protect our people, property, operations, brand, and reputation across that footprint, using technology, agility, and a people-first approach to stay ahead of evolving risks. Within the team, Protective Services focuses on the safety of our executives, their families, and the operations that support them. Our detection engineering function brings together enterprise, marketplace, open-source, and physical security signals to identify threats that don’t fit neatly within a traditional SOC boundary. This role builds the detection capabilities that turn those signals into timely, actionable intelligence - and helps Protective Services find what matters before it becomes something bigger. About the Role Detection engineering looks a little different here. As a Detection Engineer on Protective Services, you’ll build the technical capabilities that help identify and investigate threats to protected individuals. The signals you’re looking for won’t live neatly in one place—they may surface across identities and endpoints, cloud environments, marketplace activity, support interactions, physical access events, or open-source information. You’ll connect those signals to find what matters. That means building detections, enrichment, and automation; separating meaningful risk from noise; and investigating what you uncover alongside Protective Services partners. This is a hands-on engineering role where you’ll work across code, queries, data pipelines, detection repositories, and production systems. You’ll take detections from an initial hypothesis through deployment and tuning, then use what happens in the real world to make them better. You’ll have ownership of well-understood problems while partnering with senior engineers whe

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Join the Growing Solutions Engineering Team! Solutions Engineers (SEs) at Okta play a pivotal role in the customer journey, helping organizations solve complex identity challenges. We engage with customers at every stage, combining our technical curiosity with business insight to drive meaningful conversations. We’re looking for team players who can create impactful sales presentations, build compelling product demonstrations, and educate a wide audience on modern cloud security solutions. If you have a strong background in technology, a mindset of continuous learning, and a passion for customer engagement, this role is for you. What You’ll be doing: Support customers throughout the sales journey (discovery, validation, proposal, due diligence), demonstrating the value of the Okta Platform through live demos and presentations. Communicate with stakeholders at all levels of the customer's organization, including CxO, security, developers, Product Managers, and IT administrators. Bridge the gap between business and technology for diverse audiences, from security engineers and developers to CISOs and CIOs. Partner with the sales team as the go-to technical counterpart, enabling customers to validate the value and potential of the Okta platform. Focus on our Okta Workforce Identity solutions, confidently addressing product features and in-depth technical inquiries from customers. Design and execute well-defined, outcome-driven Proof of Concepts (POCs). Develop

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Closing Date 1st November 2026 📍London | 💰 £42,500 pro rata | Data | L10 on the Data Framework Data at Monzo We have over 300 employees in Data at Monzo. Data is at the heart of Monzo's journey and our work defines the success and direction of the business. That means, similar to the rest of Monzo, Data too should be magically simple. We have a strong culture of data-driven decision making across the whole company and use data in everything we do; from machine learning models to detect and block fraudulent payments to analysing how customers use the app to improve our app design. We're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. We contribute to an open source environment as much as possible. Our blog is a good place to learn even more about what we do. Data Interns As a Data intern at Monzo, you’ll be matched with a team where you’ll spend the summer working on a real project for our customers. You’ll have the opportunity to work alongside Data teams to learn more about what Data we analyse and how we use it to solve