Who We Are

At HUBBLR AI, we build cutting-edge digital products and companies from the ground up. We are a hybrid-first company that thrives in entrepreneurial, flexible, and fast-moving environments. We dive into the unknown, innovate, and collaborate to turn bold ideas into reality. So, let's build something great together! 🚀

The Opportunity

We are looking for a seasoned, hands-on Software Engineer with deep expertise in Computer Vision and Machine Learning. This isn't just a coding role; you will be the primary ML expert on client projects, acting as a technical consultant and a lead developer. You'll join a small, high-performance team, take ownership of building ML-powered products from concept to scale, and directly influence our clients' success.

If you have a pragmatic, MVP-mindset and a passion for solving complex problems iteratively, you'll feel right at home.

What You'll Do (Your Responsibilities)

• Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection.
• Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure.
• Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects.
• Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices.
• Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines.

What You Bring (Your Qualifications)

Must-Haves:

• 4+ years of professional experience building ML/CV applications in Python.
• Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment.
• Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow.
• CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar.
• Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment.
• Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient.
• Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly.
• Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients.
• Location: Ability to work from our Mannheim or Valencia office in a hybrid model.

Nice-to-Haves:

• Experience deploying ML models on cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps tools like MLflow or Weights & Biases.
• Experience or side projects involving Generative AI.
• An entrepreneurial spirit and a passion for learning new technologies.

Why Join HUBBLR? (Our Application to You)

We're not just looking for you to apply to us; we want to apply to you, too.

• High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses.
• Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges.
• A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently.
• Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character. No matter who you are, we encourage you to apply.