Full Stack Engineer, ML Platform

Mirelo

Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role At Mirelo, you’ll join a small, fast-moving team building real products on top of our generative audio models. This role is hands-on and high-ownership: you’ll ship end-to-end features across our stack, work directly with research and product, and help shape how our technology becomes something creators and partners actually use. As we scale our go-to-market efforts, the engineering work you do will sit at the heart of both user-facing products and deeper integrations with platforms, tools, and enterprise partners. Key Responsibilities * Building and maintaining our products on top of our cutting-edge generative AI models for music and sound. * High degrees of ownership: you will be responsible for shipping end-to-end features across the front and back ends of our stack, as well as helping set the direction of the features and products you're working on. * Collaborate closely with our research teams and growth/sales teams and stay close to our users: spot practical opportunities, identify pain points, and turn them into actionable engineering tasks. * Work comfortably with our current tech stack: TypeScript, React, Tailwind, shadcn, and Convex as the backend. * Work with essential cloud services—primarily AWS Lambda and S3—for integrations, automation, and deployment workflows * Use modern AI-assisted development tools (Cursor, Claude Code, etc.) to move fast while keeping craftsmanship high. * Communicate clearly with teammates, jump into discussions, and help drive the technical direction together. Ideal Candidate Profile * 5+ years of professional web development experience, preferably in fast-moving product or startup environments. * Strong expertise in TypeScript (both frontend and backend), React, Tailwind, component libraries. * Solid understanding of backend fundamentals: data modeling, migrations, performance, API design, security and data workflow. * Self-directed in a healthy way: you take ownership, move forward proactively, and keep the team in the loop. Nice to Have * Basic understanding of machine learning and experience using ML/LLM tooling in products. * Hands-on experience with Convex, or similar serverless backend platforms, and the ability to quickly become productive with it. Proficiency in Python. * Exposure to AWS beyond Lambda/S3 (CloudFront, IAM basics, monitoring). * Experience contributing to or maintaining larger production codebases. WHY JOIN? * Join at a pivotal moment. We've secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success. * True ownership from day one. You'll have genuine autonomy and responsibility. Your ideas and work will directly shape our product and company direction. * Competitive compensation and equity. We offer strong packages that ensure you share in the success you help create. * Build for the next generation of creators. Be part of the innovation that will transform how creators work and thrive. We welcome applications from all individuals, regardless of ethnic origin, gender, disability, religion or belief, age, or sexual orientation and identity.

commercetools

ABOUT COMMERCETOOLS Real innovation starts with a strong foundation, and at commercetools, that comes from the perfect balance of our product and our people. Behind every leap forward is a collective of builders, explorers, doers, makers, and problem-solvers.The kind of people who not only pioneered a more flexible approach to commerce architecture but also shaped the culture of experimentation that approach unlocked. Together they are the engine of commerce innovation today. At commercetools, we power the next era of autonomous commerce for our customers. Whether it’s AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world’s most ambitious companies experiment, scale, and grow without limits. Here the best idea wins, not the loudest voice. You will have the tools, trust, and space to not only build the future of commerce, but to build your own. YOUR IMPACT You own AI capabilities end-to-end:  from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You've personally shipped and operated full-stack apps in production, so backend, frontend, data, and ML aren't four teams you coordinate with, they're four things you do. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. You will: * Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure * Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs * Render model output into live, streamed, accessible UI via generative-UI protocols * Ground models in real data: retrieval, embeddings, and feedback loops that actually close * Treat evals as a first-class system - provable improvement, not vibes  * Take a capability from prompt-in-a-notebook to a measured, guard-railed production feature   This role is to based in our hubs -  Berlin, Boston, Durham, Munich, London or Valencia.   WHAT SETS YOU APART You're a creative problem-solver who is wired to find solutions. You confidently dive into complex challenges and have a talent for making them simple for others. Your curiosity drives you to constantly grow and contribute to an environment of trust and teamwork. Great ideas come from many paths, and your unique perspective matters more than checking every box. What matters most is the mindset you bring to the work. You bring: * Shipped full-stack apps to production and owned them end-to-end: frontend through backend to deploy and operate, not handed off at a layer boundary * 5+ years shipping production software, 2+ building with LLMs in production (real users, not demos) * Hands-on experience with UI protocols (A2UI, AG-UI, MCP-UI, or similar). You've built against a generative/agent-driven UI protocol, not just consumed a REST API * The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability * Working fluency with retrieval/embeddings and SQL   Nice to Have: * Fine-tuning/distillation, e-commerce or marketplace systems, and a track record in 0→1   OUR BENEFITS Because work and life are connected, our benefits are too. We’ve designed them to give you the security, flexibility, and opportunities you need to focus on what matters most. 🩺 Comprehensive health benefits for you and your dependents, including access to OpenUp for personalized mental health support 📚 Learning and development opportunities including an annual learning budget, access to self-paced learning platforms and language training, personalized coaching, mentorship, and leadership programs 🍼 Family Leave Plus gives you additional fully paid weeks of parental leave on top of government-provided leave, so you can spend more time with your new addition 📈 Our equity participation program allows you to share in our success  For more information on our benefits, visit this page.   Come as you are. Build with us. Your unique perspective is essential to our success. We are committed to building a team that reflects the world around us because we know it’s the only way to build the future. We celebrate our differences and have created a hiring process that’s fair, inclusive, and designed to let your talent shine. We proudly welcome applicants of every race, color, religion, gender identity, sexual orientation, age, and any other part of your identity that makes you who you are. As an equal opportunity employer, we believe that our strength lies in our diversity, and we invite you to be a part of our global community.  For more information on our diversity, equity, inclusion, and belonging practices, visit this page.

Mirelo

Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that "unmute" silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content. We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About the Role In this role, you’ll focus on the full training stack - profiling GPU behavior, debugging training pipelines, improving throughput, choosing the right parallelism strategies, and designing the infrastructure that lets us train models efficiently at scale. You’ll work across cluster management, model training, efficient data pipelines for video and audio, inference and optimizing pytorch code. Your work will shape the foundation on which all of our generative models are built and iterated. KEY RESPONSIBILITIES * Find ideal training strategies (parallelism approaches, precision trade-offs) for a variety of model sizes and compute loads * Profile, debug, and optimize single and multi-GPU operations using tools like Nsight and stack trace viewers to understand what's actually happening at the hardware level * Analyze and improve the whole training pipeline from start to end (efficient data storage, data loading, distributed training, checkpoint/artifact saving, logging, …) * Set up scalable systems for experiment tracking, data/model versioning, experiment insights. * Design, deploy and maintain large-scale ML training clusters running SLURM for distributed workload orchestration IDEAL CANDIDATE PROFILE * Familiarity with the latest and most effective techniques in optimizing training and inference workloads—not from reading papers, but from implementing them * Deep understanding of GPU memory hierarchy and computation capabilities—knowing what the hardware can do theoretically and what prevents us from achieving it * Experience optimizing for both memory-bound and compute-bound operations and understanding when each constraint matters * Expertise with efficient attention algorithms and their performance characteristics at different scales NICE TO HAVE * Experience in implementing custom GPU kernels and integrating them into PyTorch. * Experience with diffusion and autoregressive models and understanding of their specific optimization challenges * Familiarity with high-performance storage solutions (VAST, blob storage) and understanding of their performance characteristics for ML workloads * Experience with managing SLURM clusters at scale WHY JOIN? * Join at a pivotal moment. We've secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success. * True ownership from day one. You'll have genuine autonomy and responsibility. Your ideas and work will directly shape our product and company direction. * Competitive compensation and equity. We offer strong packages that ensure you share in the success you help create. * Build for the next generation of creators. Be part of the innovation that will transform how creators work and thrive. We welcome applications from all individuals, regardless of ethnic origin, gender, disability, religion or belief, age, or sexual orientation and identity.