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Prime Intellect is looking for a Research Engineer RL Infrastructure to build and optimize systems for large-scale reinforcement learning and distributed training.

Baseten is looking for a Technical Program Manager Forward Deployed Engineering to coordinate strategic customer programs, operational cadence, cross-team dependencies, and metrics.

Baseten is looking for a Product Engineer to build and iterate customer-facing enterprise products, platforms, and developer tooling.

Baseten is looking for a Senior IT Systems Engineer to own identity, authentication, access controls, and IT automation.

Location: San Francisco; New York Workplace: Hybrid 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 https://www.baseten.co/blog/announcing-our-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 Storage decides how fast agent sandboxes start and how safely they share data. Agents need a filesystem that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files. The Agent Infra team builds Agent Drive, the distributed filesystem that agent sandboxes mount over FUSE, and the storage underneath it. The work uses tiered caching, replication, content-addressed data, and Linux filesystem internals. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes and Agent Drive filesystem are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one, so storage is designed for many tenants from day one. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you care about page cache coherency, FUSE, replication protocols, and content-addressable storage, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior - Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency - Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching - Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation - Own the storage side of sandbox startup and resume performance - Build durable block storage for sandboxes alongside other Baseten storage teams - Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix - Contribute upstream to the open-source storage projects we build on REQUIREMENTS - Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code - Deep understanding of Linux filesystem and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency - Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production - Ability to debug correctness bugs that only show up under concurrency or partial failure - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with a distributed filesystem or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects - Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads) - Experience with snapshot, clone, and copy-on-write filesystem features - Experience operating multi-tenant storage with hard isolation requirements - Familiarity with Linux performance tooling such as eBPF, io_uring, perf, ftrace, and blktrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: San Francisco; New York Workplace: Hybrid 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 https://www.baseten.co/blog/announcing-our-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 Every agent on Baseten Sandboxes runs in its own microVM. Agents call models, reach tools and APIs, expose services, and more and more often talk to each other. Networking built into today's cloud providers was not designed for very large numbers of isolated machines that suspend, resume, and exchange data constantly. The Agent Infra team builds its own networking stack for sandboxes, designed from the start for that scale. It runs in user space, with VPP (FD.io http://FD.io) as its main data plane technology, and is built from virtualized network functions (VNF/NFV): carrier-grade, low-latency packet processing designed for very large numbers of agents. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes, storage, and networking are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. You'll build multi-tenant virtual private networking that connects each customer's agents and services privately and securely, using modern overlay technologies. We are building a cloud, not just using one. We want engineers who expose the network as a programmable API and write the code, not operators who push router and switch configuration. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. This role is separate from Baseten's GPU-to-GPU networking. Here you'll own how sandboxes connect to each other, to Baseten services, to customer networks, and to the internet. If you've built user-space data planes, virtualized network functions, or multi-tenant cloud networking and want to design one for agents, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and build the user-space, VPP-based data plane that connects microVM sandboxes to each other, to Baseten services, and to the internet - Build multi-tenant virtual private networking and overlays (for example EVPN, GENEVE, VXLAN) across regions - Expose the network as a programmable API that the rest of the platform calls - Cut latency and raise connection scale for agent-to-agent and agent-to-service traffic - Build routing that sends each request to the nearest region and keeps connections working as sandboxes suspend and resume - Build secure ingress and egress for sandboxes, including firewalling, static egress IPs, and custom domains with managed TLS - Build L7 proxies for request inspection, filtering, secret injection, and auditing - Own per-sandbox addressing, including IPv6, and network isolation between tenants - Build observability for the packet path across guest, host, and network, and debug production issues end to end - Work closely with the compute, storage, GPU infrastructure, and datacenter teams REQUIREMENTS - Experience with user-space packet processing (DPDK, VPP, or similar) or virtualized network functions (VNF/NFV) - Experience building multi-tenant networking in production (VXLAN, GENEVE, VRF) - Experience building a software-defined network, overlay network, or packet-processing data plane in production - You write production code: strong systems programming in Rust, Go, and/or C/C++. Network architects are welcome if they build, not only configure - Experience building cloud networking as the provider, not only consuming a cloud provider's network - Solid grounding in TCP/IP and routing - Experience building or operating proxies, load balancers, or L4/L7 gateways at scale - Experience debugging latency and throughput problems with packet captures, tracing, and profiling - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with VPP / FD.io http://FD.io, our main networking technology - Experience with GENEVE or VXLAN overlays and EVPN - Linux kernel networking: eBPF/XDP, netfilter or nftables, network namespaces - Familiarity with virtual machine networking: virtio-net, vhost, TAP devices, or networking for Firecracker or Cloud Hypervisor - Experience running IPv6 at scale - Background in telecom user-plane or 5G core networking, or in low-latency trading networks - Experience with multi-region traffic routing, anycast, or BGP - Experience with TLS termination, DNS, and egress security controls BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid 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 https://www.baseten.co/blog/announcing-our-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 Every agent on Baseten Sandboxes gets its own microVM, where it writes and runs code, calls tools, and keeps state across long tasks. Agents pause and resume constantly, so the machine underneath has to start, stop, snapshot, fork, and resume fast, and keep every tenant isolated while it does. General-purpose virtualization was not built for that workload. The Agent Infra team builds that layer. Sandboxes run in microVMs with custom Linux kernels on bare-metal servers we operate. You'll own how sandboxes start, stop, snapshot, fork, and resume, and how they perform on each host's CPU and memory, down to the hardware. You'll also own the guest and host side of each sandbox: its identity, how it attaches to different storage classes for performance or capabilities, and the virtual devices that connect it securely to the network. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose microVM sandboxes are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one. That means designing for many tenants from day one and thinking through what each decision means all the way down to the datacenter. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you've worked deep in KVM and Firecracker, Cloud Hypervisor, or QEMU and want to build the computers AI agents run on, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Own the microVM lifecycle for agent sandboxes: start, stop, suspend, resume, snapshot, and fork - Build and tune the custom guest kernels sandboxes run on - Tune host CPU and memory configuration so sandboxes run fast and safely on each type of hardware we operate - Manage host-level resources and sandbox density on each machine - Own startup and resume performance end to end, from VM boot or snapshot restore to the first command - Own the guest and host side of each sandbox: its identity, how it attaches to storage, and the virtual devices that connect it to the network - Design isolation for multi-tenant workloads where the hypervisor is the security boundary - Debug virtualization and isolation issues at scale, from userspace through the kernel to the hardware - Contribute architecture decisions and code back to the open-source projects we build on REQUIREMENTS - Hands-on experience with KVM, plus Firecracker, Cloud Hypervisor, or QEMU - Deep understanding of Linux internals: namespaces, cgroups, memory management, and the boot path - Experience building cloud infrastructure as the provider (multi-tenant compute that customers run on), not only running workloads on a cloud provider - Experience building multi-tenant infrastructure where isolation is a security boundary - Strong systems programming background in Rust and/or Go; C/C++ also welcome - Experience debugging performance and correctness problems across userspace and kernel boundaries - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Contributions to KVM, Firecracker, Cloud Hypervisor, QEMU, rust-vmm, or the Linux kernel - Experience with Xen - Working knowledge of container runtimes and sandboxing (containerd, runc, gVisor, Kata Containers) - Experience with VM snapshot and restore, fast VM resume, or building and tuning custom Linux kernels - Experience running virtualization on bare metal and tuning for specific CPU and memory architectures - Experience building a sandbox, serverless, or function runtime product - Familiarity with Linux performance tooling such as eBPF, perf, and ftrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA Workplace: OnSite About Niantic Spatial AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role This internship sits at the intersection of systems engineering, mobile application development, and applied research. You'll work directly with platform, research, and application engineers to turn new capabilities in spatial computing, localization, and computer vision into polished experiences for developers and end users — from shared C++ runtime code and native Swift/Kotlin SDKs to production-quality iOS and Android applications. Depending on your interests and the projects underway, you may work deeper in the platform stack, closer to the application layer, or across both. You'll also use AI-assisted workflows to move quickly across platforms while maintaining high standards for native quality and user experience. What You'll Do - Native & Cross-Platform Development — Build features in Swift, Kotlin, and C++, ranging from user-facing mobile experiences to the runtime and SDK capabilities that power them. - Research-to-Product Engineering — Help turn research prototypes in spatial computing, localization, and computer vision into production-quality SDK features and intuitive mobile application experiences. - Mobile Application Development — Build and refine native iOS and Android experiences that exercise new platform capabilities, solve real user problems, and help define how our technology should work in practice. - AI-Assisted Engineering — Use AI-assisted development workflows to implement, adapt, and maintain functionality across multiple native platforms without sacrificing platform-specific quality. - Cross-Boundary Debugging — Debug problems across the full stack, from shared C++ runtime behavior and native bindings through application logic, UI, device sensors, and real-world usage. - Quality, Performance & Tooling — Write automated tests, improve build and release tooling, investigate performance, and validate new capabilities through on-device testing and sensor playback. - Product & API Collaboration — Work with research, platform, design, and application engineers to shape APIs and user experiences that are stable, ergonomic, and useful across a growing range of devices and use cases. What You'll Bring - Currently pursuing a BS or MS in Computer Science, Software Engineering, or a related technical field. - Demonstrated experience building software in C++, Swift, Kotlin, or another native or systems language through coursework, personal projects, research, or prior internships. - Strong interest in native mobile development, SDKs, libraries, and developer-facing platforms with an appreciation for performance, API design, and platform-specific behavior. - Ability to independently investigate unfamiliar systems, debug across platform boundaries, and turn ambiguous technical problems into working, maintainable solutions. - Strong engineering instincts around testing, code quality, API ergonomics, and maintainability with the judgment to balance shared abstractions against platform-native conventions. - Comfort using AI-assisted development tools to increase engineering velocity across iOS, Android, and shared C++ code. - Available for 4 days per week in our San Francisco office for the full 12-week internship. Nice to Have - Hands-on experience with iOS (Xcode, Instruments) or Android (Android Studio, Android NDK) development environments. - Familiarity with spatial computing, augmented reality, computer vision, or localization (SLAM, VPS). - Experience with cross-platform build systems such as CMake or Bazel. - Prior exposure to SDK or library development, open-source contributions, or developer-facing APIs. Compensation & Benefits The expected hourly rate for this internship is $48 – $70/hour, based on assessed skills, experience, and relevant coursework. Housing assistance and relocation support available for candidates outside the Bay Area — details provided during the offer process. Location & Work Model This internship is based in our San Francisco, CA office. We work in a high-collaboration environment and ask interns to be on-site a minimum of 4 days per week. To make that easy, we provide lunch every day and snacks are always stocked. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco; Los Angeles; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: As an Android Engineer at Cantina, you’ll lead the development of innovative, high-performance features — from crafting personalized feeds and immersive custom UIs to empowering bots with AI-driven capabilities like chatting, text-to-speech, voice selection, image creation, and real-time media effects. Working closely with Product Managers, Designers, and Sean Parker, you’ll influence the direction of a product central to the company’s mission, move quickly to deliver impactful updates, and enjoy the autonomy to bring your ideas to life. We’re looking for someone who thrives on pushing the limits of Android development and has a passion for creating visually stunning, high-performance experiences. Your expertise in custom graphics, animation frameworks, and media pipelines will help shape the creative foundation of our flagship app. What you'll do: - Build and ship high-quality Android features using Jetpack Compose, Kotlin Coroutines, and modern Android architecture patterns. - Develop and optimize video/audio pipelines, real-time media effects, and AI-powered visual features on Android. - Craft immersive custom UI experiences with deep expertise in Compose animations, custom drawing, and motion design. - Leverage deep Android internals knowledge — memory management, rendering pipeline, Choreographer, RenderThread — to deliver buttery-smooth performance. - Architect and maintain clean MVVM application structure with well-separated concerns across UI, domain, and data layers. - Set up and manage dependency injection using Koin or Hilt, ensuring scalable and testable module graphs. - Participate in architecture discussions and uphold high standards for code quality, testability, and maintainability. - Collaborate with Product, Design, and QA teams to deliver polished, scalable experiences. - Take ownership of features as part of a small, fast-moving team shipping to a large user base. What you'll bring: - 8+ years of experience developing Android applications, or equivalent. - Expert-level Kotlin — idiomatic usage, coroutines, Flow, and advanced language features. - Deep Jetpack Compose expertise: custom layouts, state management, animation APIs (Animatable, Transition, AnimationSpec), and performance profiling. - Strong command of MVVM architecture and the Android architecture components ecosystem (ViewModel, LiveData/StateFlow, Room, Navigation, WorkManager). - Hands-on experience with dependency injection using Koin or Hilt in production Android apps. - Strong understanding of Android internals: View system, RenderThread, Choreographer, garbage collection, and battery/memory profiling. - Experience with media frameworks: ExoPlayer, MediaCodec, Camera2/CameraX, and real-time effects. - Ability to write readable, maintainable, documented, and well-tested code. - Experience with RESTful API integrations and proficiency with Git. - Keen attention to detail, motion, and animation — you notice when something is 2px off. - Bonus: experience with AI-driven media features, real-time video/audio effects, or WebRTC on Android. Compensation: The anticipated annual base salary range for this role is between $180,000-$240,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run. You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Hardware inventory and chain of custody: own the component-level record of what hardware exists, where it is and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it Custody workflows and field software: build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them Continuous control monitoring and posture: own the pipelines that turn check outcomes, assessment results and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run Data quality: build coverage checks, reconciliation against sources and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records Integration and reporting: agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads and leadership use directly Minimum qualifications Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program Read and review other people's code, and build with AI coding agents using Git and code review Own a domain end to end: set the approach, design and build it with the teams and vendors whose systems it depends on, and run it as something people use every day Write SQL and at least one general-purpose programming language well Preferred qualifications Experience with asset management, supply chain or warehouse systems where serialized tracking and custody transfer are the core problem Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001 or SOC 2 Experience with risk or posture scoring that combines control results, findings and other evidence into a measure people make decisions on Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting Have built AI agents or automation that replaced recurring manual work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. Bonus but not required - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. First 90 Days - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. First Year - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity Canada: CA$245,913 – CA$397,139 + equity United States: $180,500 – $291,500 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco; Remote; New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.   Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today.   We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Backend Platform to support our mission.   This role can be based in San Francisco or New York and open to those who are able to be in-office 3 days per week on a hybrid work model.   About the Team The Backend Platform team builds the foundational systems and infrastructure that power Patreon's creator platform. We're responsible for the core backend services, APIs, databases, infrastructure, and developer tooling that enable product teams across the company to ship quickly, reliably, and at scale. This team is growing and investing in foundational platform capabilities that will support Patreon's next phase of scale and product expansion. About the Role As Patreon's first dedicated video engineer, you’ll shape the live video platform that connects creators with their communities. You’ll combine strong backend engineering with deep streaming expertise to build reliable, high-quality live experiences at scale. - Lead the architecture and delivery of live video systems spanning ingest, transcoding, packaging, delivery, and playback. - Build scalable backend services and APIs that power live video experiences across web and mobile. - Improve end-to-end streaming latency, video quality, and reliability across devices and network conditions. - Drive video vendor evaluation, integration, and build-versus-buy decisions, balancing capabilities, cost, scale, and long-term flexibility. - Establish observability, quality metrics, service-level objectives, and load testing practices to prepare for major creator live events. - Own production reliability through incident response, debugging, capacity planning, and lasting improvements to system resilience. - Partner with product, infrastructure, web, and mobile engineers to shape a multi-quarter video roadmap that balances creator needs with architectural health. - Mentor engineers through hands-on collaboration and design reviews, growing video expertise within the team. What you'll need - Significant experience building and operating large-scale backend systems, with demonstrated technical leadership across teams. - Experience architecting and delivering live video systems supporting large audiences, ideally 100,000+ concurrent viewers. - Deep knowledge of live streaming technologies, including HLS, low-latency HLS, and WebRTC, and the trade-offs between latency, quality, reliability, and cost. - Experience diagnosing and improving streaming behavior, including buffering, adaptive bitrate delivery, stream failures, and the impact of packet loss. - Experience delivering broadcast and playback capabilities across web, iOS, and Android in partnership with client engineering teams. - Strong foundations in distributed systems, APIs, data storage, caching, queues, and event-driven architectures. - Experience evaluating and integrating video vendors, including understanding SDK limitations, quotas, scaling constraints, and pricing models. - A strong operational mindset, with experience defining video quality metrics, running load tests, debugging production issues, and supporting on-call coverage for live systems and major events. - Experience operating cloud-native systems using technologies such as AWS and Kubernetes. - Proficiency in Python, Go, or a similar backend language, with a commitment to hands-on engineering. - Ability to explain technical trade-offs clearly, guide cross-functional decisions, and translate ambiguous needs into a technical roadmap. - Experience mentoring engineers and establishing technical standards that improve system quality and team effectiveness. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you're excited about a role but your past experience doesn't match every bullet point outlined above, we strongly encourage you to apply anyway. If you're a creator at heart, are energized by our mission, and share our company values, we'd love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:   - Put Creators First | They're the reason we're here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don't quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team.   Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.   Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.   Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.   At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.   The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role's job family. The final offer will be based on candidate's experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.   Patreon reserves the right to modify or update compensation and benefits at any time.

Location: EMEA; Romania; Ireland; Portugal; United Kingdom; Spain; Brazil; Poland; Canada ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based within the EMEA or AMER regions. You’ll join Oyster as a Senior AI Solutions Engineer, reporting to the AI Director and partnering closely with functional leadership across Oyster. Your mandate goes beyond automating individual tasks. You’ll help make Oyster’s business functions AI native, initially across areas such as People & Legal, Finance, and Operations. This means rethinking how people work with AI, where agents can take on operational work, and where human judgement creates the most value to build a more effective AI enabled organization. You’ll be part of a connected group of Senior AI Solutions Engineers transforming different departments across Oyster. Together, you’ll establish shared standards, reuse successful approaches, and ensure Oyster’s AI transformation is coordinated rather than siloed. This is a senior, hands on role. You’ll independently identify high value opportunities, decide where AI should and should not be used, and lead complex solutions from discovery through adoption and measurable business impact. Successful candidates will be aligned to the business function where their experience, strengths, and interests can create the greatest impact, with the flexibility to support different functions as Oyster’s transformation priorities evolve.   CORE RESPONSIBILITIES Make business functions AI native Reimagine how teams work with AI. Move teams from manually operating tools and workflows toward humans orchestrating AI powered ways of working, with human judgement where it matters. Shape the AI roadmap Partner with functional leaders to identify, prioritize, and frame high impact transformation opportunities. Lead solutions from start to finish Own complex initiatives from an ambiguous problem through design, build, deployment, adoption, and improvement. Build best in class AI agents and solutions Design, build, test, and continuously improve reliable AI agents, agentic workflows, automations, and integrations using LLMs, orchestration platforms, APIs, tools, and enterprise data sources. Apply sound judgement Balance value, feasibility, risk, data quality, maintainability, and human oversight. Recognize when AI is not the right solution. Drive AI adoption and self sufficiency Partner with functional leaders, managers, and champions to embed AI into everyday work. Help teams move beyond consuming AI outputs toward confidently creating reusable prompts, workflows, and AI powered ways of working. Own solutions beyond launch Measure adoption, quality, reliability, and business impact after release. Continuously improve solutions based on real usage and outcomes rather than treating launch as completion. Connect the organization and raise capability Build trust with functional leadership, share reusable patterns with AI Solutions Engineers supporting other departments, mentor colleagues, and help teams develop the skills and confidence to operate effectively in an AI enabled environment.   MINIMUM REQUIREMENTS - 3+ years of hands on AI and automation experience, supported by broader experience delivering complex solutions in business operations, functional transformation, Solutions Engineering, systems integration, or a related field. - A track record of redesigning workflows or operating models, rather than only automating isolated tasks. - Experience independently leading complex, cross functional initiatives from an ambiguous problem to measurable business impact. - Strong automation capability using tools such as n8n, Zapier, Make, or comparable orchestration technologies. - Strong hands on experience designing, building, deploying, and improving production AI agents and agentic workflows using LLMs, APIs, tools, and enterprise data. - Strong experience in at least one complex business function such as People, Legal, Finance, Operations, or a related area. - Experience integrating business systems through APIs, webhooks, and authentication mechanisms. - Strong judgement about where AI can create value, where processes need deeper redesign, and where automation should not be used. - Ability to influence functional leaders, challenge assumptions constructively, and align technical and nontechnical stakeholders. - A track record of mentoring others, sharing expertise, and raising standards across a team.   BONUS EXPERIENCE - Experience with enterprise systems and platforms used across functions such as People, Legal, Finance, or Operations. - JavaScript, Python, or SQL experience. - Familiarity with RAG, MCP, AI evaluation, observability, governance, or security controls. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history: $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and 390 Fortune 500 brands as customers. We're building at the frontier of AI-powered video creation and next-generation creative tools. We aren't just moving fast. We're changing what fast means. ABOUT THE ROLE Growth engineering is product engineering where the main output is learning. You'll write code that helps people discover Higgsfield, get to their first great result and keep coming back. Then you'll measure whether it worked. Some of what you build will be thrown away after a week, and some will become part of a product used by millions. Telling the two apart is the job. WHO WE ARE LOOKING FOR - You think about outcomes. Before you build, you know what the change should move. After you ship, you go and check. - You see a failed experiment as a result. A clear "no" is progress, and you're happy to delete code that didn't earn its place. - You turn vague problems into working software. Give you a question with no known answer, and you come back with a plan and a first version. - You know when to go quick and when to go solid. Disposable when testing an idea, robust once it proves itself. Fast on experiments, careful wherever user trust is at stake. - You have business sense and data literacy. They matter to you as much as clean code. - You're AI-native in how you work. You use AI coding tools every day, and you verify what they produce. - You're resilient. You do your best work in a high-intensity startup environment. WHAT YOU WILL WORK ON - Turn hypotheses about user behavior into shipped experiments. See each one through from instrumentation to the decision to scale, iterate or stop. - Work across the whole user lifecycle (acquisition, activation, monetization and retention) instead of inside a single feature. - Build product experiences where correctness and reliability matter as much as speed. - Build the foundations that make experiments fast and safe: instrumentation, reusable building blocks and monitoring. - Partner closely with product, design, data and marketing. Explain trade-offs, and push back when it's needed. - Own what you ship in production. If a number moves the wrong way after a release, you're among the first to notice and act. - Keep the product fast, because speed is a feature our users feel. WHAT SUCCESS LOOKS LIKE - In your first weeks, you ship to production and launch your first experiment. - Within a few months, you own a part of the user journey and can show what you've moved. YOUR MUST HAVES - Advanced expertise in TypeScript, React, Next.js and CSS. - You've shipped user-facing features whose impact was measured, and you can talk about what worked and what didn't. - Hands-on experience with A/B testing and product analytics. You're comfortable reading the data yourself. - Strong grasp of web performance and responsive, cross-browser development. - Testing and CI/CD practices. - Strong communication and collaboration skills, and commitment to finishing what you start. - Willingness to work in a fast-paced startup environment. NICE TO HAVE - Previous experience on a growth or monetization team. - Experience with subscription products. - Experience building experimentation or analytics tooling. - Enough backend experience to shape an API together with backend engineers. THIS ROLE IS NOT FOR YOU IF - You need detailed specs and a roadmap that stays fixed for months. - You'd rather polish one feature for a quarter than ship many experiments and keep the ones that work. - You don't want to look at metrics after a release. THE DEAL - Top-of-market compensation in USD. - Meaningful stock options with significant upside. - Small team, high autonomy and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . This is a seasoned engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. You will set the architectural direction for the systems you own, make and document the key design tradeoffs, and provide strong leadership within and across scrum teams to deliver on that vision. Essential Duties and Responsibilities Proactively research, prototype, and introduce technologies and  system designs for green-field products. Lead the design of new systems and major changes to existing ones: write design docs, evaluate alternatives, and document tradeoffs and decisions (e.g., ADRs) Primary IC for green-field product, ensuring long-term code maintainability, readability, and extensibility. Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration. API & Integration Design, develop, and maintain scalable and secure APIs, UIs and integration services. Implement RESTful, RPC, and event-driven APIs/UIs for internal and external systems. Collaborate with product, data, and platform teams to ensure seamless system interoperability. Manage API lifecycle including versioning, authentication, monitoring, and performance optimization. Develop and maintain integration pipelines between SaaS systems, data sources, and third-party applications. Troubleshoot integration issues, conduct root cause analysis, and implement fixes. Support continuous improvement through automation, observability, and best practices. Education, Experience, Knowledge, Skills, and Abilities 5+ years of experience of software development experience Strong proficiency in TypeScript and modern JavaScript. Extensive experience with React and JavaScript web development frameworks (Next.js preferred) Experience with ORM frameworks and relational databases, including data modeling and provenance tracking patterns (Prisma, Drizzle, PostgreSQL) Experience building long-running, fault-tolerant workflows with durable execution engines (Inngest, Temporal, or similar) Hands-on experience integrating state-of-the-art LLMs into production systems, including agent design, tool use, and evaluation Strong understanding of integration patterns, and experiencing building external API integrations (pub/sub, webhook, ETL, etc.). Excellent debugging, analytical, and problem-solving skills. Preferred Experience Bachelor’s degree in Computer Science, Software Engineering, or related field. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time with travel to client sites Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/