Mirelo AI jobs

Founder Associate Hybrid, Germany 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 As an early-stage startup, this role comes with exceptional breadth. While you'll work on highly strategic and intellectually challenging topics, you may also take on very practical, hands-on operational tasks to relieve the founders (e.g. coordination, logistics). We're therefore looking for someone ambitious, but also with a strong sense of ownership and a “nothing is below me” mindset. Key Responsibilities While your day-to-day will reflect the changing needs of the business, you'll generally focus on the following: - Support the CEO in allocating time to the highest-impact priorities while managing complex cross-functional scheduling and logistics that keep the team moving quickly. - Partner with the CEO to define team structure, support on hiring, and onboard new critical hires - Support in managing relationships with external stakeholders, including preparing for board meetings and investor updates - gathering data, crafting narratives, and designing presentation materials. - Support finance and administrative topics across the organization. - Jump into mission-critical, time-sensitive projects that require cross-functional coordination. -

Principal Product Designer Hybrid, Germany 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 Your mission is to transform Mirelo's generative audio capabilities into a product creators genuinely love and return to again and again, helping define product-market fit through craft, iteration, and real user feedback. As our first Product Design hire, you'll define how creators interact with AI-generated sound and shape the core experience of Mirelo's products. This is a hands-on, high-ownership role where you'll work directly with users and their data to turn raw AI capabilities into tools creators actually want to use. You'll iterate based on early user feedback and design intuitive, expressive interfaces for a new class of generative video-audio tools, translating complex model capabilities into simple, powerful user flows. As the founding designer, you'll have outsized impact on how our technology becomes a real product for creators. Key Responsibilities - Own the end-to-end UX/UI for Mirelo's AI-powered creative products - from early concepts to polished, shipped features that delight users. - Translate powerful generative audio models into intuitive, creator-friendly interaction patterns

Community and Creator Growth Manager Berlin, Germany 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 Our community of content creators is central to Mirelo's growth, and you'll be our first hire focused on this critical lever. This is a hands-on execution role: you will run day-to-day community operations and creator content and you'll help us turn learnings into repeatable success. You'll be the voice of Mirelo - building relationships with creators, filmmakers, and game developers while designing the systems and programs that turn users into advocates. As an early-stage startup, this role offers exceptional breadth and learning opportunities. You'll work on strategic initiatives with our core growth and product team while owning key workstreams that build and sustain our community. This role is well suited to someone early in their career, or to someone already active in creator or community-driven spaces who wants to take full ownership in a professional, high-growth environment. We strongly prefer candidates who can join us at our Berlin HQ to work directly with the growth team. What You'll Do -

Principal Product Manager Hybrid, Germany 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 Your mission is to help Mirelo find and scale product-market fit by deciding what to build, why to build it, and how to learn fastest from real creator usage. You'll be the driving force behind how our generative audio technology becomes a real product used by creators and partners. As our first product hire, this role truly is about 0-1. You'll be deeply hands-on with high-ownership: shaping the product from the ground up, working side-by-side with research to turn foundational audio models into intuitive experiences, and features that creators love to use. Key Responsibilities - As the first product management hire, you will define and execute the end-to-end product strategy and own the full roadmap for our product development. - You'll be deeply hands-on: prototyping, testing, running experiments and iterating day to day yourself. - Work closely with our research teams to make our raw but powerful foundational audio models genuinely useful for our creators and users - Continuously monitor feature adoption

Training Infrastructure Engineer Berlin, Germany, Tübingen, Hybrid 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

Research Scientist - Model Team Berlin, Germany, Tübingen, Hybrid 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 work at the centre of how we build the next generation of multimodal video-to-audio models. This role is deeply hands-on and research-heavy: with a great H100/200-per-engineer ratio you explore and build new multimodal models and push the boundaries of what's possible in music, sound, and speech generation. You'll collaborate closely across research and engineering, run focused ablations, and translate experimental results into clear next steps for the team. From data curation to deployment, you'll help shape the full lifecycle of the models that power our products and partnerships. Key Responsibilities - Design, implement and train large-scale multimodal generative models for audio generation (diffusion and/or autoregressive models). - Explore new modeling ideas for audio generation (music, sound, speech) while taking inspiration from the language and image domains. - Develop and experiment with post-training for new capabilities (fine-grained control, in/out-painting, editing, …) - Conduct rigorous ablation studies, get actionable insights and communicate results to the team to

Full-Stack Software Engineer Berlin, Germany, Hybrid, Tübingen 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

Research Scientist - Audio Codec Berlin, Germany, Tübingen, Hybrid 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, we're pushing the limits of what generative audio can do, and our ability to innovate depends heavily on the quality of our underlying audio representations. In this role, you'll work at the core of our modeling stack - designing, training, and evaluating neural audio codecs that directly shape the performance of our next-generation music and sound models. You'll collaborate closely with the model team, experiment with both continuous and discrete representations, and build the evaluation tools that help us understand what actually moves the needle. Your work will sit at the foundation of building the best-sounding generative models in the world. Key Responsibilities - Develop and implement new neural audio codecs for sound, music and speech that push the state-of-the art in sound quality and are optimized for the the use case of generative models. - Think about the specific challenges that arise when the codec is primarily used as a latent representation in the context

AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation

AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About

AI Integrator / AI Engineer Prague, Praha, Czechia Join our team as an AI Engineer to design and implement cutting-edge AI solutions that drive business transformation. Collaborate with cross-functional teams to deliver scalable, secure applications and accelerate enterprise AI adoption. If you're passionate about AI and ready to make an impact, we want to hear from you!

Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsox CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...

Lead AI & Agentic AI Architect (AI Squad Leader) Valbonne (KFR51693) posted: Posted 30+ Days Ago

Chief AI Architect Toronto Requisition ID: 258532 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Chief AI Architect is the most senior architecture authority in AI and Agentic Engineering and the definitive technical voice for enterprise AI solution design across Scotiabank. This role leads the Enterprise AI and Agentic Solution Architecture group, the function responsible for translating Scotiabank's enterprise AI strategy into coherent, governed, production-viable solution architectures that span business lines, platforms, and geographies. The Chief AI Architect does not build the AI platform and does not own feature delivery. They define how AI capabilities are assembled into complete business solutions, establish the architectural standards that govern all AI solution builds across the bank, and ensure that platform investments in AI and ML infrastructure are mapped to enterprise business outcomes with architectural precision. This role operates as a technical peer Head of AI and Agentic Engineering. This is the person the bank turns to when an enterprise AI architecture decision has consequences that outlast any individual program. Is this role right for you? In this role, you will: Define Scotiabank's enterprise AI solution architecture: the canonical reference architectures, solution patterns, and integration blueprints that govern how GenAI, agentic AI, and ML capabilities are assembled and deployed across business lines, customer-faci

AI Senior Consultant Madrid, Spain posted: Posted 18 Days Ago

AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...

Sr. AI Product Owner - Enterprise AI Platforms Sr. AI Product Owner - Enterprise AI Platforms

Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI s...

Intermediate AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...

AI Lab - Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

AI Lab - Junior Machine Learning Engineer Sant Cugat del Valles, Barcelona, Spain

Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx CHENNAI, India Job Summary. We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large L...

Coding Specialist (Fluent in Spanish - Latin America) - Freelance AI Trainer Project Costa Rica Are you a coding expert fluent in Spanish (Latin America) eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline software development for engineers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for coding specialists who live and breathe algorithms, data structures, software architecture, frontend and backend development, cloud infrastructure, and systems programming-and who can do so fluently in Spanish (Latin America). You'll challenge advanced language models on topics like asynchronous programming, RESTful API integration, memory management, object-oriented design, secure coding practices, and debugging distributed systems-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on software engineering tasks and technical scenarios in Spanish (Latin America), verify logical accuracy and coding fluency, assess naturalness and correctness of Spanish language usage, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's, master's, or PhD in computer science, software engineering, or a closely related technical field is ideal; real-world coding experience, technical writing in Spanish, or open-source contributions signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your coding and Spanish language expertise into the knowledge base for tomorrow's

Manager, AI Engineering - AI & Business Tech Engineering Boston Manager, AI Engineering - AI & Business Tech Engineering