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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 revolutionising the industry.
- Benefits: Competitive pay, fully remote work, paid time off, and skill development opportunities.
- 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 - 70000 £ 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!
Senior Hardware Engineer employer: Haut.AI
Contact Detail:
Haut.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Hardware Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨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 you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice explaining your thought process clearly, as communication is key in collaborative environments like Haut.AI.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our innovative team at Haut.AI.
We think you need these skills to ace Senior Hardware Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your expertise in ML/DL models and any relevant projects you've worked on. We want to see how you can bring value to our team!
Showcase Your Projects: Include specific examples of your work, especially those related to computer vision and deep learning. If you've built or deployed models, let us know! This helps us understand your hands-on experience and problem-solving skills.
Keep It Clear and Concise: While we love detail, make sure your application is easy to read. Use bullet points for key achievements and keep your language straightforward. We appreciate clarity as much as complexity!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 ML/DL models, especially any that you’ve shipped to production. Highlight the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Understand the Business Impact
Since Haut.AI is focused on delivering business value through technology, 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.
✨Practice Communication
Given the emphasis on collaboration, practice explaining complex technical concepts in simple terms. This will help you convey your ideas clearly during the interview and show that you can communicate effectively with non-technical team members.