Computer Vision Engineer

• Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation.
• Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation.
• Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment.
• Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift.
• Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team.

• Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background.
• Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker.
• ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures.
• Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces).
• Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy).
• Communication: Advanced English proficiency to collaborate effectively in a global environment.

Bonus Points (Nice to Have)

• Hands-on experience with Vision Transformers (ViTs).
• Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP).
• Data visualization skills using tools like Plotly or Gradio.

Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI.

• Competitive compensation based on experience and skills.
• Fully remote position with flexibility across UK and EU time zones.
• Paid PTO.
• Be part of a pioneering company revolutionizing the BeautyTech space.
• Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry.
• Make a tangible impact on product development and company growth.
• Opportunity to grow your skills and expertise at the intersection of science and beauty.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech.

We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won’t just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers.