Machine Vision And Aoi Sr Engineer Jobs

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Product Data Scientist to set up how Baseten uses data to make product decisions. Product is a new function at Baseten, and you'll be one of the people who defines it. You'll work directly with our founders, Product, and Engineering, and alongside GTM, to decide what we measure, how we run experiments, and how the results shape strategy. This is a foundational, hands-on role. You'll define what success looks like on a technical, usage-based platform, and you'll turn open-ended questions into analyses, forecasts, and experiments. You'll work with everything from clickstream and product events to inference telemetry and observability data, helping Baseten make faster calls on reliability, performance, adoption, and developer experience. EXAMPLE INITIATIVES Take a look at these blog posts that show the kinds of systems and data you'll work with: How leading platforms ensure observability for LLM inference How the Baseten Delivery Network (BDN) makes cold starts fast How we built RBAC that scales for the enterprise RESPONSIBILITIES Partner with Product and Engineering to frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define product success metrics across activation, adoption, retention, expansion, reliability, and user experience. Design measurement plans for launches, analyze A/B experiments and controlled rollouts, and

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 member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites Help develop evaluation frameworks to measure Claude's performance for mission-specific use

The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution Own the roadmap and execution for our key signal finding systems Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals Build and operate both traditional machine learning and LLM based systems in production at scale Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time Who You Are: Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have Experience with Java, Python or Go, and experience working in a platform-focused team Strong cross-team collaboration and stakeholder management skills Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap Direct experience building and training M

About the Team DoorDash is one of the world's most trusted on-demand logistics platforms. The Global Safety and Security team exists to keep it that way, protecting our people, property, operations, brand, and reputation across all our markets. We manage risk and create value through agility, technology, and a people-first approach. Our DoorDash, Deliveroo, and Wolt brands now span more than 40 countries, dozens of offices, and tens of thousands of employees. Protective Services focuses specifically on the safety of our executives, their families, and the operations that support them. Its detection engineering function brings together enterprise, marketplace, open-source, and physical security signals to identify threats that do not fit within a traditional SOC boundary. This role builds the detection capabilities that turn those signals into timely, actionable information for Protective Services. About the Role We are hiring a Senior Detection Engineer to build and improve the technical capabilities Protective Services uses to identify threats to protected individuals. You will develop detections, pipelines, enrichment, and automation across enterprise security telemetry, marketplace signals, open-source information, and physical security systems. This detection problem extends beyond conventional cybersecurity alerts. Relevant indicators may appear across identities, endpoints, cloud environments, support interactions, marketplace activity, access-control events, or unstructured online content. You will determine how to combine those signals, distinguish meaningful escalation from noise, and directly investigate resulting activity alongside Protective Services partners. That proximity to active cases grounds engineering decisions in real investigative needs and reveals opportunities to improve fidelity, automate friction, and reduce time to action. This is a hands-on security engineering role. You will work in code, queries, data pipelines, detection repositories,

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

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. Staff Software Engineer - Backend Get to Know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box—we are looking for lifelong learners and people who can make us better with their unique experiences and backgrounds. Join our team! We are building a world where Identity belongs to you. Identity Security Pillar Okta's Identity Security Pillar is at the forefront of defending modern enterprise environments against sophisticated identity-centric attacks. As enterprise attack surfaces expand across clouds, SaaS ecosystems, and hybrid networks, our pillar delivers unified, next-generation security capabilities that protect organizations across the entire threat lifecycle. Joining our pillar gives you the unique opportunity to build and impact diverse, cutting-edge products across the security domain, including: Identity Security Posture Management (ISPM): Delivering continuous, contextual visibility into complex identity infrastructure, surfacing misconfigurations, eliminating toxic combinations of permissions, and reducing overall attack surfaces

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine — leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance. In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools — using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale. You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue. WHAT YOU’LL DO: Own analytics and end-to-end measurement across all growt

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine — leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance. In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools — using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale. You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue. WHAT YOU’LL DO: Own analytics and end-to-end measurement across all growt

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine — leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance. In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools — using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale. You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue. WHAT YOU’LL DO: Own analytics and end-to-end measurement across all growt

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are growing, and so is the breadth and depth of our marketing programs, with AI at the core of how we scale. We are looking for a highly motivated, diligent, and data-driven Senior Marketing Analytics Manager to join our Marketing Operations team. Reporting into the Director, Marketing Operations and Demand Generation, this role will serve as the analytical backbone of our growth marketing engine — leading the measurement, visualization, and insights infrastructure that drives smarter investment decisions and executive-level confidence in our marketing performance. In this role, you will own analytics and reporting across all growth marketing functions, from campaign performance to pipeline attribution. You'll partner closely with Growth Marketing, Finance, RevOps, and other cross-functional teams to ensure data is accurate, accessible, and actionable across the full funnel. You'll also be a practitioner and champion of AI-powered tools — using them to automate workflows, accelerate insight generation, and elevate the sophistication of our marketing measurement at scale. You'll use data to continuously improve reporting efficiency, forecast accuracy, and budget allocation decisions, helping ensure our marketing analytics engine drives measurable impact on pipeline and revenue. WHAT YOU’LL DO: Own analytics and end-to-end measurement across all growt

Important: This position will work in one of the following three Extended-Hours Support (ExHS) shift teams: 1. Weekend Shift Team 1a. Rotation 1: Sunday to Thursday (9AM–5PM), Friday and Saturday off 1b. Rotation 2: Tuesday to Saturday (9AM–5PM), Sunday and Monday off 2. Early-Morning Shift Team 2a. Rotation 1: Monday to Friday (4AM–12PM Pacific Time), Saturday and Sunday off 2b. Rotation 2: Tuesday to Saturday (4AM–12PM Pacific Time), Sunday and Monday off 3. Late-Evening Shift Team 3a. Rotation 1: Monday to Friday (3PM–11PM Pacific Time), Saturday and Sunday off 3b. Rotation 2: Sunday to Thursday (3PM–11PM Pacific Time), Friday and Saturday off Important notes: During hiring, candidates will select and commit to one shift team (Weekend, Early-Morning, or Late-Evening). Once hired and onboarded, the team member will work exclusively within that shift team. ExHS team members rotate quarterly (every three months) between their team's two rotations. There are no rotations between shift teams. This is an exciting opportunity in our Data Science Production Engineering (DSPE) department at Natera (a global leader in precision medicine and genomics testing), to lead a team providing key data analytics services for our lab production operations. As a Manager of Data Analysis for Lab Production Support, you will work in one of the above three DSPE Extended-Hours Support (ExHS) shift teams, during the specified rotation hours. You will have the opportunity to apply innovative data analytics solutions, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the specific ExHS shift team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. PRIMARY RESPONSIBILITIES: Leadership Lead and mentor the specific ExHS shift team, fostering a culture of accoun

Important: This position will work in one of the following three Extended-Hours Support (ExHS) shift teams: 1. Weekend Shift Team 1a. Rotation 1: Sunday to Thursday (9AM–5PM), Friday and Saturday off 1b. Rotation 2: Tuesday to Saturday (9AM–5PM), Sunday and Monday off 2. Early-Morning Shift Team 2a. Rotation 1: Monday to Friday (4AM–12PM Pacific Time), Saturday and Sunday off 2b. Rotation 2: Tuesday to Saturday (4AM–12PM Pacific Time), Sunday and Monday off 3. Late-Evening Shift Team 3a. Rotation 1: Monday to Friday (3PM–11PM Pacific Time), Saturday and Sunday off 3b. Rotation 2: Sunday to Thursday (3PM–11PM Pacific Time), Friday and Saturday off Important notes: During hiring, candidates will select and commit to one shift team (Weekend, Early-Morning, or Late-Evening). Once hired and onboarded, the team member will work exclusively within that shift team. ExHS team members rotate quarterly (every three months) between their team's two rotations. There are no rotations between shift teams. This is an exciting opportunity in our Data Science Production Engineering (DSPE) department at Natera (a global leader in precision medicine and genomics testing), to lead a team providing key data analytics services for our lab production operations. As a Manager of Data Analysis for Lab Production Support, you will work in one of the above three DSPE Extended-Hours Support (ExHS) shift teams, during the specified rotation hours. You will have the opportunity to apply innovative data analytics solutions, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the specific ExHS shift team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. PRIMARY RESPONSIBILITIES: Leadership Lead and mentor the specific ExHS shift team, fostering a culture of accoun

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeli