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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. Position Summary: We are looking for a Staff Applied Science Manager to lead and grow a team of talented data scientists who have direct impact on our company metrics. The performance of our models and experiments is seen astonishingly quickly – the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model-learning playgrounds in the world, with an infrastructure that en

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. Security Engineer, Customer Identity, Advanced Threat Protection 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’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Role We seek a knowledgeable and research-focused Security Engineer to join a new Advanced Threat Protection team within Auth0 Customer Identity. This role does two things at once: it researches how attackers will use AI against identity systems, and it researches and builds how we use AI to defend our products, our infrastructure, and — most importantly — our customers' tenants. This role is a key member of the Security team embedded within the Customer Identity product unit and works across multiple functions to get ahead of emerging AI threats, supporting the growth of our global Customer Identity business. We are an engineering-focused team that seeks to stay on the cutting edge of security technology and t

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise. As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands-on experience with production-grade AI technologies, cloud-native architectures, and AI-assisted software development practices. Responsibilities Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures. Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications. Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions. Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency. Research, evaluate, and prototype emerging AI techn

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Architecture Modeling team develops software, modeling platforms, and analytical tools that enable the evaluation and optimization of next-generation storage system architectures. By combining simulation, data analytics, automation, and AI-enabled engineering practices, the team helps accelerate architectural decision-making and improve engineering productivity across product development organizations. As an Architecture Modeling Intern, you will develop software tools and automation solutions that support architecture modeling, simulation analysis, and performance characterization efforts. You will collaborate with architects, firmware engineers, and systems engineers to analyze complex datasets, identify performance bottlenecks, improve engineering workflows, and leverage AI technologies to enhance productivity and technical decision-making. Responsibilities Develop software tools and automation solutions for architecture modeling, simulation analysis, and performance characterization activities. Create workflows to process, analyze, visualize, and report on large engineering datasets to improve insight generation and decision-making. Design dashboards, reporting tools, and analytics solutions that improve engineering productivity and identify performance trends or anomalies. Apply AI-assisted development techniques, automation frameworks, and intelligent analytics to accelerate software development and engineering workflows. Collaborate with cross-functional engineering teams to so

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Key Responsibilities GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval. LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. Machine Learning Production: Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support. Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions. Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments. Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders. Innovation Leadership: Identify and drive high-impact o

Enterprise Architect - Cloud & AI Role Overview Jumio is not just processing transactions; we are pioneering the future of identity intelligence. To lead this transformation, you serve as a visionary AI Adoption Catalyst and Systems Architect , redefining our technical landscape. In this role, you aren’t a traditional gatekeeper—you are a Developer Advocate and mission-driven leader. You take end-to-end ownership of our architecture, positioning machine learning and GenAI at the heart of our DNA. Leveraging your deep expertise in AWS and cloud-native engineering, you provide the engine that empowers our developers to innovate at lightning speed, ensuring our multi-tenant SaaS platform remains the global benchmark for performance and scale. This is a mandate for a technical doer who thrives on the front lines. Building on our strong, scalable cloud foundation, you will actively champion the adoption of GenAI tools across the software development lifecycle while driving continuous architectural improvement, evolution, and operational cost optimization. Your proven experience in AWS is the toolkit you use to clear architectural roadblocks and optimize performance, enabling engineering teams to move with unprecedented velocity. As a strategic technical leader who stays close to the code, you inspire an AI-First culture. You bridge the gap between visionary enterprise design and pragmatic execution, driving cross-departmental impact while fostering self-service capabilities and cloud efficiency to ensure that as Jumio grows, our technology scales predictably and elegantly. Key Responsibilities End-to-End System Architecture & Optimization Own the technical vision for scalable, high-performance, cost-efficient systems. Define modern architecture patterns that enable growth, high TPS, and seamless scaling. Architect and optimize multi-tenant SaaS platforms, ensuring configurability and performance. Design self-service capabilities to reduce engineering overhead (e.

P-1489 About Databricks 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. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leverage

P-1489 About Databricks 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. About the Role As a Staff Technical Program Manager (TPM) for Trust & Safety Engineering, you will drive technical execution across infrastructure initiatives that protect platform integrity, user identity, and data privacy at scale. You will work directly with Security Engineering, Identity Infrastructure, Machine Learning, and Core Platform teams to design, build, and deploy systems for authentication, access control, and anomaly detection. Working embedded within engineering groups, you will translate identity protocols, privacy-by-design principles, and threat mitigation models into clear technical specifications, system dependencies, and actionable execution roadmaps. This role is focused on technical execution, resolving complex engineering dependencies, and delivering scalable systems that guarantee identity integrity and prevent platform abuse. Key Responsibilities Define, articulate, and own the security program strategy and roadmap, ensuring alignment with Databricks’ business and product goals. Drive initiatives across Identity Infrastructure, Data Governance, Platform Security, Machine Learning, and Trust Engineering. Oversee execution of complex security engineering multi-half initiatives (AuthN/AuthZ/Secret/PKI/Cryptography,etc), demonstrating ownership from strategy through outcomes. Leve

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 . ML Platform & Infrastructure Team The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement. As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production. The Role We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure . In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide. In this role, you will have the opportunity to: Turn MLOps expertise to GenAI: Transition traditiona

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-

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 Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security tea

We're building the future of Speech Intelligence at Speechmatics, and we need someone who can own the technical engine behind how customers discover, adopt, and grow with our platform. This is a hands-on backend engineering role, where your work directly shapes the journey from a customer's first interaction with our website to their first meaningful moment of value. If you thrive shipping, iterating, and making a measurable commercial difference, then we’d love to hear from you. What you'll do Own the backend development and ongoing health of the Speechmatics website and self-serve portal Build and maintain new custom components from scratch, turning design specifications into reliable, performant, production-ready code Manage Vercel deployments and backend infrastructure, keeping the live site fast, stable, and technically sound Implement UI design changes end-to-end, bridging the gap between what's designed and what goes live Write Python-based queries to surface insights across the self-serve portal and support data-driven decisions across the growth team Identify and act on opportunities to improve conversion across the self-serve funnel through well-timed, well-designed product experiences Collaborate closely with product, design, and data teams in a cross-functional, async-friendly way, working closely together to remove blockers and unlock opportunities Own the ongoing improvement of site performance, loading speed, and technical reliability What you'll need Proficiency in JavaScript and TypeScript for website backend development, with a track record of shipping and maintaining production code Hands-on Python experience, particularly for data queries Demonstrable experience with LLM and AI-first development workflows, tools like Claude, Cursor, or similar Experience in a product-led growth or self-serve SaaS environment, with a clear understanding of conversion funnels and how engineering choices affect them The ability to o

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Summary: Join the Product Engineering team to develop and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions that transform semiconductor manufacturing and engineering workflows. This role is responsible for building predictive analytics models, developing agentic AI solutions, enabling intelligent automation, and driving data-driven decision-making to improve yield, quality, cycle time, reliability, and cost efficiency. The successful candidate will leverage advanced machine learning techniques, large-scale semiconductor datasets, and AI technologies to solve complex engineering challenges. In addition, this role will mentor and enable Citizen Data Scientists (CDS) by providing technical guidance, training, and best practices in machine learning, analytics, and AI adoption. Strong technical expertise, innovation, collaboration, and communication skills are essential for success. Main Responsibilities: Machine Learning Development Develop, validate, and deploy machine learning models for yield prediction, test time optimization, reliability analysis, and manufacturing process improvement. Apply advanced analytics and machine learning techniques to large-scale structured and semiconductor manufactur

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. Senior Software Engineer, Security Engineering We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and managing services that secure the platform that Auth0 runs on. You will be instrumental in expanding our platform security controls and architecting custom workflows in a scalable, reliable manner. What You Will Do Service Development: Build, maintain, and operate platform security services and controls using Python, Node.js, or Golang. Security Data Pipelines: Design, build, and optimize custom workflows to ingest, process, and distribute security data to downstream systems at scale. Scalable System Architecture: Architect maintainable, secure, and resilient microservices and platform integrations that protect our infrastructure without adding friction for engineering teams. Engineering Quality: Write clean, testable, and well-documented code while driving technical designs and participating in code reviews to maintain high engineering standards. What You Bring Software Development Experience: 5+ years of hands-on experience designing, building, and maintaining production-grade software services. Core Language Proficiency: Hands-on mastery of Python, Node.js, or Golang. System Design Expertise: Strong track record of designing scalable, maintainable, and secure software architectures. Cloud & Containers: Solid expe

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. Opportunity As a Staff Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture and evolution of our product features — spanning the across different access governance personas — and work collaboratively across engineering, product, and design to deliver features that are secure, scalable, and delightful to use. This is a role for someone who thinks in systems, leads with craft, and is energized by the challenge of building enterprise-grade software that millions of users depend on. This is a rare opportunity to join a team where your technical decisions will directly shape how thousands of enterprises manage access governance at scale, where the technical challenges are genuinely hard, and where the work you ship will be seen and felt by real users every day. Job Duties And Responsibilities Take end-to-end ownership of feature areas — from technical design through implementation, testing, deployment, and post-launch monitoring Design, build, and ship high-quality, production-ready features across the OIG system, with a focus on correctness, reliability, and performance Quickly deliver high-quality bug fixes and handle customer-reported issues Write clean, well-tested, maintainable code and hold yourself and teammates to a high bar for engineering quality Partner with our Product Development, QA, and Site Reliability Engineering teams for