Machine Vision And Aoi Sr Engineer Jobs

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Messaging is how ZipRecruiter shows up for job seekers when they are not on the site. Every day we send millions of emails and push notifications: new job alerts, fresh matches, communications from employers, and updates on applications already in flight. This portfolio is one of the largest single sources of job applications on ZipRecruiter, and it is the primary channel for re-engaging job seekers who would otherwise drift away. You will own Product for this entire channel. That means deciding which messages exist and what each one is for, who receives them and when, how the portfolio balances message volume against job seeker trust and long-term retention, and how we decide for each job seeker the single best thing to send next. The role sits at the center of the marketplace. Your messages carry the output of our matching and ranking models, so you will work daily with data science and machine learning teams. Your sends drive employer outcomes, so you will coordinate with employer-side Product teams on how to drive the most effective outcomes for them. And you own a channel with real constraints: deliverability, sender reputation, compliance, and a finite budget of seeker attention. Key Focuses: Act as an Owner: Take full accountability for the jobseeker messaging domain, from portfolio-level KPI setting to the details of individual mess

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary : Messaging is how ZipRecruiter shows up for job seekers when they are not on the site. Every day we send millions of emails and push notifications: new job alerts, fresh matches, communications from employers, and updates on applications already in flight. This portfolio is one of the largest single sources of job applications on ZipRecruiter, and it is the primary channel for re-engaging job seekers who would otherwise drift away. You will own Product for this entire channel. That means deciding which messages exist and what each one is for, who receives them and when, how the portfolio balances message volume against job seeker trust and long-term retention, and how we decide for each job seeker the single best thing to send next. The role sits at the center of the marketplace. Your messages carry the output of our matching and ranking models, so you will work daily with data science and machine learning teams. Your sends drive employer outcomes, so you will coordinate with employer-side Product teams on how to drive the most effective outcomes for them. And you own a channel with real constraints: deliverability, sender reputation, compliance, and a finite budget of seeker attention. Key Focuses: Act as an Owner: Take full accountability for the jobseeker messaging domain, from portfolio-level KPI setting to the details of individual mess

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Director of Site Operations, you’ll own node and rack uptime for SpaceXSI's AI supercompute cluster—the most advanced of its kind. This role is the extreme owner of cluster health and customer Service Level Agreements across 5+ sites operating 24/7. You’ll lead a 250+ person organization of site managers, shift supervisors, and technicians, plus the site reliability engineering team that monitors cluster health and drives fault mitigation at scale. We’re looking for a hands-on operations leader who can build a culture of excellence and accountability, partner tightly across the company, and keep uptime exceptional as we grow. RESPONSIBILITIES: Own Cluster Uptime: Serve as extreme owner of node, rack, and cluster health across 5+ sites running 24/7, accountable for customer Service Level Agreements and consistently exceptional uptime on SpaceXSI's supercompute cluster. Lead a Large Operations Organization: Direct a 250+ person team spanning site managers, shift supervisors, and technicians across four 24/7 shifts, building a culture of excellence and accountability at every layer of the org. Drive Node and Rack Remediation: Ensure systematic recovery of fai

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. The deadline for applying to this role is 18th October 2026, end of day, anywhere on Earth. Team Description Risks from misaligned AI systems are growing increasingly important as AI systems become more capable, autonomous, and integrated into society. Understanding these risks and stress-testing mitigations is crucial to ensuring advanced AI systems are developed and deployed safely and beneficially in the future. The Alignment Red Team is a specialised subteam within AISI's wider Red Team focused on detecting and evaluating misalignment in frontier AI systems. We perform novel research to develop techniques for finding misalignment, and pre- and post-deployment evaluations of frontier AI systems to understand loss-of-control risks associated with models, such as deceptive alignment, research sabotage, and reward-seeking. We share our findings with frontier AI companies and the UK and allied governments, to inform their respective deployments, research, and policy-making. We also work directly with safety teams at frontier labs, sharing our evaluation findings to help improve their model alignment training and monitoring methodology. We have conducted pre-deployment testing with multiple frontier AI companies for propensities related to research sabotage , cheating and unsanctioned cyber-attacks . We previously found t

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. The Auth0 Sales Team Auth0 is the front door of all the brands you know and love. The chances are you’ve used Auth0 this week to login and you didn’t know. We power seamless and secure customer experiences with a platform that powers billions of Customer Identity logins every year. As an Auth0 Account Executive (AE), you will drive territory growth through both net new logos and by cultivating relationships to expand and grow existing Auth0 customers. With the support of your Auth0 ecosystem, your focus will be on delivering consistent results and an unwavering commitment to our customers. The Commercial Account Executive Opportunity The successful candidate is a highly motivated, self-driven, sales executive who is passionate about winning key new logos, about engineering and product technology and about driving protection against the biggest identity threats. As an Auth0 Account Executive, you will be working with our most important marquee logos, to secure the front door of their users. You will work with Engineering, Product personas, helping them deliver the most secure and frictionless digital experiences for their customers. You will continually drive territory growth primarily through net new logos acquisition as well as through cultivating relationships to develop and grow your existing Auth0 customers. What You’ll Be Doing Build a plan to guide your long-term approach to net new logo pipeline generation Consistently deliver revenue targets t

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. Overview of the role: We are looking for an Applied Scientist III to join our algorithmic and research science team. You'll work on mathematically rigorous, research-driven problems at production scale, while owning problems end to end. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges

As the Manager of Model Validation & Verification (VnV) for Behavior Autonomy, you will lead an engineering and data science team responsible for evaluating, benchmarking, and validating the machine learning models and behavioral algorithms that drive our autonomous vehicle (AV) prediction and planning stacks. You will own the statistical frameworks, offline/online evaluation metrics, and validation pipelines that ensure our behavioral models operate safely, comfortably, and predictably. Operating at the intersection of Data Science, Machine Learning, and Safety Engineering, you will partner closely with Autonomy Software, Prediction, Planner, and ML Operations teams to establish data driven release criteria for our AV fleet. In this role, you will: Team Leadership & Execution: Lead, mentor, and scale a high-performing team of Data Scientists, ML Validation Engineers, and Software Engineers while driving roadmaps, sprint execution, resource allocation, and high-throughput model releases with rigorous safety guardrails. Culture of Rigor: Foster a culture of statistical excellence, healthy skepticism, proactive risk tracking, and data-driven decision-making. Validation Strategy & Methodologies: Define and execute end-to-end validation strategies across offline evaluation, open/closed-loop simulation, and shadow-mode fleet benchmarking to ensure robust behavioral model performance. Statistical uncertainties, and regressions into clear, data-driven recommendations for release gating and executive leadership. Metrics, Release Gating & Rigor: Oversee metric development and standardization with System Safety and Autonomy teams, establishing quantitative go/no-go release criteria for Behavioral Planner and Prediction ML models while fostering statistical rigor and proactive risk management. Cross-Functional & Infrastructure Partnership: Partner closely with Planner, Prediction, MLOps

Zoox is seeking a Senior / Staff Technical Program Manager, Change Governance to own the end-to-end orchestration of product changes as they move from tentative engineering approval through cross-functional review to implementation on the production line. This role sits at the center of a multidisciplinary process, ensuring every change is tracked, properly vetted, and executed with full governance and traceability at each stage. In this job, you will Serve as the single point of accountability for governance of a change from tentative Engineering approval through multidisciplinary alignment across Engineering, Manufacturing, Quality, Purchasing, Supply Chain, and Logistics to production-line implementation. Assess and manage how a change cascades through multi-tier supply chain dependencies, coordinating supplier qualification and launch-readiness requirements as needed Partner with production-line teams at Zoox and relevant change management functions at suppliers to plan and confirm implementation readiness: timing, resourcing, build sequencing, documentation, and training. Maintain accurate, audit-ready records of change status, approvals, and decisions in relevant change management, ERP, and PLM systems. Build and maintain reporting and dashboards on change pipeline health, using scripts (e.g., Python, Apps Script, VBA) or AI tools to automate recurring data retrieval and reporting across Excel, Google Sheets, and Jira. Own and continuously improve the governance framework and checklist — required approvals, documentation, and gate criteria — partnering with IT/business systems teams to implement process and tooling improvements. Qualifications Bachelor's degree in Mechanical, Electrical, Industrial, Manufacturing Engineering, or a closely related engineering discipline <l

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, able to independen

Zoox is looking for an AWS Cloud Security Engineer to lead the design and implementation of secure, scalable, and software-defined infrastructure in our AWS cloud environment. This role is responsible for establishing best-in-class security practices across AWS, driving automation-first infrastructure security, and partnering with engineering and platform teams to embed security into every layer of our technology stack. You’ll act as a security champion, ensuring that infrastructure designs meet the highest standards of confidentiality, integrity, and availability — while maintaining operational efficiency and scalability through Infrastructure as Code (IaC). In this role, you will: Define and own the multi-year security architecture and roadmap for Zoox's robots and fleet, spanning embedded/firmware, in-vehicle networks, cloud, and supporting infrastructure. Partner with hardware, firmware, autonomy, and infrastructure engineering teams to embed security requirements into system design from the ground up, rather than bolting them on after the fact. Lead threat modeling and architecture reviews for new vehicle platforms and major feature launches, identifying and prioritizing systemic risk across the fleet. Set technical standards and guardrails - secure boot, key management, network segmentation, update/OTA security, and more - and drive their adoption across engineering teams. Represent Product Security in cross-functional and leadership discussions, translating technical risk into business and safety impact for the organization. Qualifications 10+ years of experience in security engineering, including significant time in an architect, staff, or technical lead capacity. Deep expertise in embedded/IoT security, including secure boot, TPM/TEE, cryptographic key management, and hardened firmware/OS design. Demonstrated experience architecting security for complex, physical/cyber-physical sys

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: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in prod

About the Team New Verticals is an exciting team at DoorDash that is building and scaling new ways to delight our customers beyond restaurant deliveries (e.g., Grocery, Convenience, Alcohol, Retail). Our Central Ops team has three major mandates: to effectively onboard merchants, fulfill every order with speed & accuracy and improve our logistics network. We are able to do this by identifying efficiencies, building product tooling and launching operational processes at scale. You will own metrics, pull operational & product levers and drive impactful results across our Grocery, Convenience, Alcohol and Retail businesses. About the Role We are looking to build out our team with a Senior Associate who will focus on a variety of strategic and operational initiatives on the New Verticals Central Ops pod. You will lead the scoping, go-to-market, and iteration of cutting-edge product features to help DoorDash improve order quality and selection across our Convenience, Grocery, Alcohol, and Retail businesses. You work will include attracting more Dashers into shopping, building the tools & technology they use in-store, and ensuring the right supply is available in the right place at the right time. Your work will be highly visible, and involves partnering with the Machine Learning, Engineering, Product, and Data Science teams. You will sit in the Central Ops group within our New Verticals Strategy & Operations organization and report into a Manager. This is an individual contributor position. You’re excited about this opportunity because you will… Analyze : You love working with data and using data to drive business decision-making. You love talking to customers, unpacking their feedback, coming up with improvement opportunities and are familiar with SQL. Strategize : You will own and deliver on improving key metrics. You will create quarterly and annual plans that push our business forward and are aligned with our product capabilities. You will

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 the leader of our new Hedge Funds sales team within Enterprise FSI, you will build and lead the team that brings transformational AI to the world’s leading hedge funds - multi-strategy platforms, quantitative and systematic firms, discretionary long/short equity, global macro, and credit funds. These are some of the most technically sophisticated and competitive organizations in financial services, rethinking how they generate ideas, conduct research, build and test strategies, manage risk, and run their operations - and they’re looking for a partner they trust to take frontier AI from promising experiments into production at the core of their investment process. You’ll own a focused portfolio of top-tier funds at very different stages of AI adoption, from firms already running Claude across research and engineering to those just beginning their journey. You will lead Enterprise and Strategic Account Executives, design the coverage and territory model, and build the repeatable, hedge-fund-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, protection of proprietary strategies and data, security and compliance rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. Buyers move fast, decision-making is concentrated among a small group of senior leaders, and you’ll shape strategy and operating rhythm while staying personally engaged with founders, CIOs, CTOs, and heads of research on the pursuits that matter most. This is a rare opportunity to build a team from the ground up,

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. Senior Associate – Business Finance About the Role We are looking for a sharp and proactive Senior Associate – Business Finance to join the Business Finance team, supporting revenue operations, planning cycles, and commercial decision-making for the unit. This is a high-exposure role suited for someone who wants to build a strong foundation in commercial finance within a fast-paced ad-tech environment — while also leve

About Paytm: 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: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech