Repli5 AB jobb

About Repli5 Repli5 is a Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, which is essential in developing solutions for industrial robotics, autonomous drones, smart factories, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Build the Engine of our Future We are looking for a highly driven Founding Software Product Engineer - Repli5 Platform to take the reins on our core cloud platform. This is a rare "greenfield" opportunity: you will be architecting and building out the platform from the ground up, allowing users to effortlessly generate computer vision training datasets. As a pivotal early member of our startup, you won't just be writing code—you will lead our platform development. You will sit at the intersection of our users, our 3D artists, and our Machine Learning engineers, translating complex generative AI capabilities into a seamless, scalable user experience. If you love the autonomy of a startup, thrive on making high-level architectural decisions, and want to build a product that directly impacts the future of autonomous systems and robotics, this is the role for you. What You Will Do (Key Responsibilities) Architect & Build: Lead the end-to-end full-stack development of our user-facing cloud platform, owning the technical roadmap and tech stack decisions. Product Lead: Lead the development of the platform product and ensure we are building features that solve real problems for our clients in robotics, drones, and manufacturing. Design for Flexibility: Create a robust architecture that thrives as a cloud-native application today, but is adaptable enough to be packaged for strict on-premise enterprise deployments tomorrow. Bridge the Gap: Work closely with our Software, Machine Learning, and 3D teams. You don't need to be an ML scientist, but you will integrate generative AI features and distributed training pipelines into the platform. Drive Engineering Culture: Set the standard for clean code, scalable architecture, and platform security as we grow the team around you. Who You Are (Qualifications) The Essentials: Minimum of 5 years of proven experience in full-stack software development with strong programming skills in modern frameworks (e.g., SvelteKit/React for frontend; Python/Node.js/Go for backend). Cloud & Infrastructure Guru: Deep experience architecting and deploying cloud platforms and practical knowledge of containerization/orchestration for both cloud and on-prem environments, as well as DevOps skills and experience in GPU-based services. Product Mindset: You have experience with, or a strong appetite for, Product Management/Product Ownership. You care just as much about why you are building something as how you are building it. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. Cross-Disciplinary Curiosity (Big Plus!): A strong interest in or exposure to 3D creation (e.g., Unreal Engine, Blender) and/or Machine Learning (specifically Generative AI or Stable Diffusion). Understanding these domains will give you a massive advantage in collaborating with our specialized team members! A Team Player: A problem solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive salary, pension, insurances and Stock Options. Healthy work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem related to the position and you are expected to present how you would solve this. This is followed by general technical questions Final stage is a sync with the CEO.

About Repli5: Repli5 is a small Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, called RealSim, leverages gen AI to bridge the gap between synthetic data and reality. This is particularly useful for creating accurate, realistic training data for computer vision models, essential in developing solutions for industrial robotics, autonomous drones, and select automotive applications. Our technology is also capable of enhancing real-world images by introducing extensive weather and lighting variations, which significantly increases the robustness of downstream computer vision models. We are now packaging this tech into a platform service built for computer vision engineers. The Opportunity: Shaping the Future of AI Perception We're looking for an experienced Machine Learning Engineer with a deep background in computer vision and generative AI. You’ll be part of a team developing workflows that generate realistic, diverse, and highly controllable synthetic image data using state-of-the-art tools like Stable Diffusion, LoRA, and ControlNet. These workflows will be adapted and applied to our new platform and your work will thus directly impact Repli5’s business and the performance and robustness of real-world AI systems—from self-driving cars to industrial automation. What You’ll Do (Key Responsibilities) Develop and fine-tune generative AI pipelines (e.g., Stable Diffusion, ControlNet, LoRA) for synthetic image generation. Design and implement machine learning workflows to generate structured, photorealistic datasets. Collaborate with 3D artists and simulation engineers to align ML models with physical environments and sensor setups. Work closely with customers in automotive, robotics, and aerospace to deliver tailored datasets. Optimize generation systems for scalability, quality, and speed using tools like ComfyUI or custom pipelines. Who You Are (Qualifications) The Essentials: MSc or PhD in Computer Vision, Machine Learning, or related field with 3+ years of hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Extensive experience with state-of-the-art image generation models (GAN, Diffusion, Transformers) Exploring Mindset: Experience exploring workflows with generative AI models (especially diffusion-based) and a strong passion for reading and applying new research papers. Toolset Curiosity (Big Plus!): Familiarity with tools like LoRA, ControlNet, ComfyUI, or custom workflows around Stable Diffusion. Domain Knowledge (Big Plus!): Strong understanding of synthetic data generation and its role in training perception systems. Practitioner: A track record of deploying ML systems in domains like industrial automation, defense, or automotive. The Startup Gene: You excel in fast-paced, ambiguous environments where you can take initiative and work independently. A Team Player: A problem-solving intellect with a team player spirit and a positive can-do attitude. What We Offer A competitive compensation package. Flexibility and work-life balance. Challenging tasks that are at the forefront of technology. The autonomy to make major technical decisions and influence the product direction. An international, caring culture where it is natural to both ask for and offer help. Flexible working hours and the possibility to work from home some days a week. Fun at work. Recruitment Process Application Review First Interview (1-1 with COO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical interview (with 2-3 from the Repli5 team). You're given a technical problem similar to a customer request and you are expected to present how you would solve this (but not present the actual solution). This is followed by general technical questions Final stage is a sync with the CEO.

About Repli5 Repli5 builds computer vision training data for autonomous systems. Our customers are the engineering teams building perception stacks for autonomous vehicles, industrial robots, quality inspection systems. They come to us when their existing datasets are inadequate, and their models fall short. We combine simulation pipelines with generative AI workflows to produce high-fidelity synthetic and augmented training data at scale. That means augmentation of real-world imagery, domain adaptation on rendered scenes, and domain randomisation to cover the rare edge cases that inhibit model performance in production. The Role You will be Repli5's first dedicated commercial hire and the company's primary revenue driver. You'll report directly to the CEO, inherit an active pipeline, and build the sales motion from the ground up. This is not a quota-carrier role inside a mature sales org. You'll define the playbook - ICP targeting, outreach, qualification, pricing, and close. You will eventually hire the team beneath you. If you're looking for a script to follow, this isn't the right job. If you want to own a function and be rewarded when it works, read on. Industrial automation is our strategic growth focus. Experience in that vertical, or a network there, is a strong differentiator. What You'll Own The full commercial pipeline: prospecting, qualification, demos, negotiation, close Go-to-market strategy in collaboration with the CEO. Target verticals, positioning, pricing Account development and expansion on existing customers Partnering with the CEO and ML engineers on technical discovery calls and proposals CRM hygiene and pipeline reporting Laying the groundwork for the future sales team What We're Looking For Must-have: Proven B2B sales track record in enterprise software or deep-tech. Minimum 3+ years. Technical fluency sufficient to hold a credible first meeting with a computer vision or perception engineer. You don't need to write the code, but you need to understand what they're solving. Experience selling into one or more of: autonomous vehicles, robotics, industrial automation, computer vision / machine learning, simulation, defense / aerospace. Full-cycle sales ownership. You've sourced and closed deals, not just managed handoffs. Self-starter who builds structure in ambiguity, not someone who needs it handed to them. Based in Gothenburg or able to relocate; comfortable with regular travel. Strong advantage: Existing network across physical AI or industrial automation buyers (engineering leads, ML engineers, heads of perception, CTOs) Background or education in engineering, computer science, or a related technical discipline Experience at an early-stage company or in a market development / commercial lead role What We Offer Competitive base salary benchmarked to experience Equity options aligned with long-term company success Performance bonus tied to commercial outcomes Direct line to the CEO and genuine influence over company direction The autonomy to build the commercial function your way Recruitment Process Application Review First Interview (1-1 with CEO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical Workshop (with 2-3 Repli5 team). More about Repli5. This is your chance to learn who we are, what we're building, and showcase your ability to converse on an engineering level. We'll walk you through the technology and product, and expect you to ask the questions a customer would - and start building the technical answers you'll need in the field.