
Repli5 AB · Göteborg
About Repli5: Repli5 is a small Swedish startup based in Gothenburg that specializes in bringing Generative AI to computer vision applications. Our technology, ...
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 us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description Uppdragsbeskrivning Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. The person they are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring. The person does also have experience from cost consciousness – Dev, Deploy and Run vs. business value. Skill requirements At least 5 years of experience building and maintaining production models and AI solutions Able to contribute to all parts of an AI solution Azure AI stack such as Azure AI services, Microsoft Foundry etc Strong Python skills Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn Hands on experience in designing and operating functions in Azure and Databricks Experienced with at least one MLOps tool (ideally MLFlow) Strong experience in one of NLP, computer vision, timeseries, anomaly detection with some experience in the others Experience with software engineering practices (version control, CI/CD, testing, etc.) Nice to have: Experience with RAG systems Agentic systems and RPA PySpark/Apache Spark Event driven systems or streaming data Experience mentoring junior ML and Data engineers Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.
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.
Job Summary We are looking for a Senior Software Engineer with strong full-stack development, cloud (AWS), and automation-driven system design experience. The ideal candidate will have hands-on experience building enterprise-grade platforms, intelligent/AI-enabled systems, and scalable cloud infrastructure, and will play a key role in system architecture, development, and mentoring. Key Responsibilities Design, develop, and maintain enterprise-grade software systems and platforms. Build and enhance full-stack applications (frontend, backend, APIs). Develop and operate cloud-native systems on AWS, ensuring scalability, security, and reliability. Implement automation pipelines for deployment, infrastructure, monitoring, and system workflows. Contribute to intelligent platforms such as virtual assistants, AI-enabled or data-driven systems. Collaborate with cross-functional teams to deliver high-quality solutions. Support system architecture decisions and improve overall platform performance. Maintain and optimize cloud infrastructure across multiple projects. Mentor junior engineers and promote best practices in coding, testing, and system design. Required Skills & Qualifications Education Bachelor's degree in Computer Science, Computer Engineering, or related fields. Master's degree or ongoing study in Machine Learning, AI, Image Analysis, or related areas is a strong plus. Technical Skills Core Engineering Strong experience as a Senior / Full-Stack Software Engineer. Solid understanding of software architecture, system scalability, and design patterns. Experience building enterprise-level platforms or products. Backend & Platform Strong backend development experience (API design, services, background jobs). Experience building agent-based systems, virtual assistants, or workflow-driven platforms is a plus. Familiarity with AI/ML-integrated systems (even at application level). Frontend Experience with modern frontend frameworks (React, Angular, Vue or similar). Ability to build cross-platform and responsive interfaces. Cloud & Automation (Key Requirement) Strong hands-on experience with AWS services. Experience managing cloud infrastructure across multiple projects. Proficiency in: Infrastructure as Code (IaC) CI/CD pipelines Deployment and environment automation Monitoring and logging automation Understanding of cloud cost optimization and security best practices. AI / Advanced Systems (Nice to Have) Exposure to: Machine Learning Image analysis / Computer Vision Intelligent automation or data-driven decision systems Soft Skills Strong problem-solving and analytical thinking. Ability to work independently and take ownership of systems. Good communication skills in cross-team and international environments. Mentoring mindset and senior-level responsibility. Nice-to-Have Experience Experience working on global projects with international clients. Background in automotive, advertising technology, or enterprise platforms. Experience with cross-platform mobile applications. Previous work on facial recognition or data-driven targeting systems. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.