Cantina

Role Description As a Kotlin Multiplatform Engineer at Cantina, you’ll be the architect of our shared-code strategy — building the foundation that powers our experiences across Android, iOS, and web from a single Kotlin codebase. You’ll work at the cutting edge of the KMP ecosystem, shipping production code to real users on multiple platforms, while keeping platform-specific layers feeling truly native. We’re looking for a Kotlin expert who has been in the trenches with KMP — someone who has wrestled with interop edge cases, navigated the wasm target, and shipped Compose Multiplatform UI that feels polished everywhere. What You'll Do - Design and build shared KMP modules covering networking, data persistence, business logic, and domain models used across Android, iOS, and wasm targets. - Ship production-grade Compose Multiplatform UIs that feel native and performant on Android, iOS, and web. - Build optimized platform-specific targets — leveraging Swift/Obj-C interop for iOS and Kotlin/Wasm for web — to meet the performance and UX bar of each platform. - Architect clean platform-expect/actual boundaries and maintain Kotlin/Native and Kotlin/JS interop layers. - Set up and manage Koin Multiplatform for dependency injection across all targets, ensuring clean and testable module graphs. - Collaborate with platform teams (iOS, Android, web) to align on shared APIs, versioning, and release cadences. - Drive KMP best practices across the organization — tooling, testing strategies, CI/CD for multiplatform builds. - Lead development of new AI and media-driven features within the shared codebase. - Participate in architecture reviews and uphold high standards for shared module design and testability. Qualifications - 8+ years of software engineering experience with deep, expert-level Kotlin — you know the language spec, not just the idioms. - Real-world, production KMP experience: you’ve shipped KMP code that real users ran on Android, iOS, and/or wasm — not just toy projects or internal tools. - Hands-on Compose Multiplatform experience: building shared UI across multiple targets with platform-specific adaptations. - Experience with Koin Multiplatform for dependency injection across KMP targets in production codebases. - Solid understanding of Kotlin/Native memory model, freezing, and interop with Obj-C/Swift APIs. - Experience targeting Kotlin/Wasm and/or Kotlin/JS, including the Compose for Web stack. - Fluency with multiplatform build tooling: Gradle multiplatform plugin, source sets, target configuration, and CI pipelines. - Strong grasp of coroutines, Flow, and structured concurrency — understanding how they behave across targets. - Ability to write readable, maintainable, thoroughly documented, and well-tested shared code. - Bonus: experience with KMP libraries (Ktor, SQLDelight) in production environments. - Bonus: contributions to the KMP/CMP open-source ecosystem or close familiarity with JetBrains’ roadmap. Compensation The anticipated annual base salary range for this role is between $180,000-$230,000. 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!

Role Description 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. - 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. Qualifications - 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!

• Build product capabilities across application security, security operations, and agent security • Turn real security workflows into product experiences and platform primitives • Design systems that ingest, correlate, triage, and act on security signals • Help define safe patterns for agents, tools, permissions, memory, and execution boundaries • Identify hidden risks and failure modes that only someone with real security experience would see • Partner with product and engineering to make strong tradeoffs between speed, usability, and security • Contribute to evaluation, testing, observability, and guardrails for agentic behavior • Raise the team’s overall understanding of security architecture, operations, and AI risk

Role Description We are looking for a talented AI Research Engineer to join our computer vision research team. In this role, you will work closely with our research team, implementing, training, and evaluating state-of-the-art image and video generation models. You will own the engineering execution that turns research ideas into working systems: - Building robust data pipelines - Running and stabilizing large-scale training - Implementing models from papers - Optimizing for speed/efficiency - Running rigorous evaluations This is a high-impact implementation and execution role. This role is ideal for engineers who enjoy building reliable ML systems and scaling research ideas into production-quality training pipelines. The ideal candidate is someone who gets deep satisfaction from: - Making complex systems work - Translating research ideas into reliable, scalable code - Debugging training instabilities - Delivering measurable improvements in training stability, model quality, and inference efficiency This is an excellent opportunity to work closely with experienced researchers, gain deep hands-on exposure to cutting-edge model training techniques, latest research methods in diffusion/transformer-based generation, large-scale experimentation, and efficiency innovations, all while contributing directly to production-grade models. Qualifications - 2–5 years of hands-on experience building and training ML systems, with strong ownership of results - Fluency in PyTorch: comfortable reading, writing, and debugging both training and inference code - Experience training or fine-tuning generative models (diffusion models, transformers, VAEs, or similar) from scratch or near-scratch - Solid understanding of distributed training workflows and practical debugging of large training runs - Demonstrated ability to read and implement AI research papers in computer vision - Familiarity with cutting-edge computer vision models and research literature in the image and video domain - Experience building data pipelines for large-scale image or video datasets - Strong debugging skills: comfortable diagnosing both engineering bugs and training failures - Strong engineering mindset: writing clean, reliable, debuggable code; profiling tools; handling numerical issues at scale Requirements - Build and maintain end-to-end data pipelines for large-scale image and video datasets: collection, filtering, augmentation, conditioning alignment, and efficient storage/sampling - Implement model architectures (diffusion, autoregressive, flow-based, diffusion transformers, etc.) and maintain high-throughput PyTorch training loops for large-scale image and video diffusion models - Run and manage large-scale training experiments on multi-GPU and multi-node setups (DDP, FSDP, DeepSpeed) - Debug training instabilities, loss spikes, and convergence issues - Apply quantization, pruning, and knowledge distillation techniques to compress models without sacrificing quality - Collaborate with researchers and translate state-of-the-art research papers into working implementations in our internal codebase (e.g., new attention mechanisms, sampling schedules, or conditioning methods) - Build and maintain evaluation pipelines of image quality, video consistency, and perceptual metrics - Set up and maintain human annotation and evaluation pipelines using services like AWS GroundTruth - Profile and optimize training speed, GPU memory utilization, and iteration time - Implement inference optimizations to reduce latency and compute cost - Work with acceleration toolchains such as torch.compile, Triton, TensorRT, or ONNX where appropriate 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!

• Perform deep-dive security reviews of smart contracts, protocols, and blockchain infrastructure • Analyze protocol designs and identify attack surfaces across DeFi primitives, tokenomics, governance, MEV, bridges, and ZK systems • Work within a pod or as part of a curated team with other senior researchers • Provide actionable recommendations with clear technical and business impact assessments • Reproduce exploits, write POCs, and occasionally contribute patches • Publish post-mortems, technical articles, and internal reports as part of the knowledge-sharing culture

• Own post-sale end-to-end project setup • Track project readiness and communicate updates across teams • Coordinate resources assignments and team availability based on scope and skillset • Provide internal teams with resource recommendations for upcoming projects • Support delivery team members by addressing logistical and operational concerns • Contribute to ongoing process improvements within CS operations

• Record Financial Transactions: Accurately record all daily financial transactions, including but not limited to credit card transactions, bank transactions in accordance with company policies and GAAP. • Account Reconciliation: Regularly reconcile bank accounts, payroll and credit card statements with internal records to ensure accuracy and resolve any discrepancies. • Accounts Payable: Handle Accounts Payable process, entering bills into accounting systems, reconcile vendor payments. Reconcile vendor accounts after each payment cycle. • Accounts Receivable: Apply customer payments to invoices accurately and timely, ensuring proper allocation across services, retainers, and other revenue streams. Monitor accounts receivable aging reports and follow up on outstanding balances to support timely collections. Assist with revenue recognition support by ensuring payments are properly matched to invoices and reporting periods. • Assist with Monthly Financial Statements: Support monthly, quarterly, and year-end close processes by preparing journal entries, account reconciliations, and accrual schedules.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Machine Learning Engineer on the AI Image Generation (Imagine) team, you'll design, implement, fine tune, improve and debug the image AI models that power our lifelike AI bots. The Imagine Team at Cantina is responsible for all generative image and machine vision services. Your expertise in machine learning and scalable ML infrastructure will be crucial in developing innovative features that revolutionize how people connect and create online. AI bots on Cantina are multimodal and can text and talk with you as well as send you selfies. To provide these capabilities, we continually develop and deploy new image generation pipelines that create photorealistic, consistent characters. The Imagine team is constantly striving to improve the quality, character consistency, responsiveness to prompting, inference time, and incorporation of an ever increasing number of custom looks and appearance traits. - Evaluate new image generation and identity preservation papers and models. - Develop and deploy new versions of the image generation and image analysis pipelines. - Monitor and fix production issues that impact users. - Fine-tune and optimize models to improve character consistency, prompt responsiveness, and inference latency. - Design and run experiments to benchmark model performance, tracking quality metrics across generations of pipeline improvements. - Collaborate with cross-functional teams to translate product requirements into ML solutions and bring new generative features from prototype to production. Qualifications - Demonstrated interest in AI image generation, including both personal and professional projects. - Deep technical foundation in machine learning specifically in image synthesis. - 5+ years experience as a software engineer, preferably in services. - 2+ years of experience building production-grade machine learning models in industry and/or academic research settings. - Strong programming skills in Python and deploying Python based services. - Familiarity with tools and frameworks involved in AI image generation including but not limited to Stable Diffusion, Diffusion Transformers (DiT), Visual Transformers (ViT), Tensorflow, PyTorch, Diffusers, ComfyUI, TensorRT, and CUDA. - Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Baseten, Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure. - Strong teamwork skills including communication and collaboration with both technical and non-technical team members. 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! Company Description 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!