Job Overview
Job TitleComputer Vision Engineer
Job TypeFull Time
Offered Salary$100,000
LocationRemote
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Job Description
About Haut.AI
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.Computer Vision Engineer Role
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.What You’ll Do
- 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.
What You Bring
- 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.Why Haut.AI?
- 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.
To Apply
Please submit your CV in English for applying. We look forward to hearing from you!Key skills/competency
- Computer Vision Engineer
- Deep Learning
- Python
- PyTorch
- TensorFlow
- Computer Vision
- Image Analysis
- Machine Learning
- Software Engineering
- Docker
How to Get Hired at Haut.AI
- Tailor your resume: Highlight your 3+ years of experience shipping ML/DL models to production, Python proficiency, and deep learning framework expertise.
- Showcase your skills: Emphasize your experience with CNNs, transformers, OpenCV, and data manipulation libraries like NumPy and pandas.
- Demonstrate production readiness: Detail your knowledge of Git workflows, Docker, and experience optimizing models for deployment (ONNX/TF-lite).
- Prepare for technical interviews: Be ready to discuss your experience with computer vision algorithms and building ML pipelines.
- Highlight collaboration: Mention your advanced English proficiency and experience working in global teams.
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