Machine Operator Integrator Jobs

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

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys) About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here <span style="color:#00

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 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 . Within the EPD (Engineering, Product, and Design), Ads Engineering teams connects the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. We are looking for inquisitive, well-rounded senior Full-stack and backend engineers to join our Monetization Engineering teams. Working closely with product managers, designers, and other engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s req

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 . Within the EPD (Engineering, Product, and Design), Ads Engineering teams connects the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads. We are looking for inquisitive, well-rounded Full-stack and backend engineers to join our Monetization Engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required

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

P-1324 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Experience with low level systems (OS, network stacks, CPU optimizations). Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70%