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- Tasks: Design and deploy cutting-edge computer vision models for personalised skincare solutions.
- Company: Join Haut.AI, a pioneering BeautyTech startup transforming the skincare industry.
- Benefits: Competitive pay, fully remote work, flexible hours, and paid time off.
- Other info: Collaborate with a talented team and grow your expertise at the intersection of science and beauty.
- Why this job: Make a real impact in the BeautyTech space while working with innovative technologies.
- Qualifications: 3+ years in ML/DL, strong Python skills, and experience with CV frameworks.
The predicted salary is between 50000 - 60000 £ per year.
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.
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!
Computer Vision Engineer employer: Haut.AI
Contact Detail:
Haut.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computer vision and deep learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Engineer role. Highlight your experience with ML/DL models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed, trained, or deployed CV/DL models. This gives us a clear picture of your hands-on experience and how you tackle real-world challenges.
Keep It Clear and Concise: When writing your application, be clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right place and helps us keep track of all applicants efficiently. Plus, we can't wait to hear from you!
How to prepare for a job interview at Haut.AI
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Python, PyTorch, and OpenCV. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Projects
Prepare to talk about your previous work with computer vision and deep learning models. Highlight any end-to-end projects you've owned, especially those that involved deploying models to production. Real-world examples will make you stand out!
✨Understand the Business Impact
Since Haut.AI is focused on delivering tangible business value, think about how your technical skills can translate into real-world applications. Be ready to discuss how your work can impact clients and their customers positively.
✨Practice Communication Skills
As collaboration is key in this role, practice explaining complex technical concepts in simple terms. This will help you demonstrate your ability to communicate effectively with non-technical team members during the interview.