About the company:

At Haut.AI, we're at the forefront of the AI-driven skincare revolution. As a trusted B2B solution provider for skincare retailers and clinics, our reputation is built upon the unparalleled precision of our computer vision technology, complemented by the intuitive yet robust features of our web platform.

About the product:

Haut.AI is an innovative SaaS product that automates the collection of high-quality skin data. We help skincare brands provide skin testing and build interactive product recommendations on e-commerce platforms and in physical locations.

Responsibilities:

• Develop and implement deep learning algorithms for computer vision tasks, such as segmentation, classification, image generation
• Apply classical computer vision techniques, to solve problems in computer vision
• Report results to internal stakeholders, including presenting findings in a clear and concise manner.
• Conduct ad-hoc reporting to communicate findings and results to stakeholders.
• Interpreting and analyzing data using statistical techniques to identify trends and patterns in the data
• R&D in the area of computer vision for skincare

Requirements:

• Strong ability to write good and reproducible code in Python, specifically with experience in Pytorch, scikit-learn, pandas, numpy and other machine learning frameworks
• Familiarity with OpenCV or other computer vision libraries.
• Extensive understanding of deep learning algorithms and architectures, such as CNNs (Convolutional NeuralNetworks) and visual transformers, and their applications to computer vision.
• Experience with segmentation, classification, and image generation tasks.
• Expertise in deep learning and computer vision algorithms and techniques, and the ability to apply them to real- world problems.
• Ability to stay up-to-date with the latest research and trends in computer vision and machine learning.
• Creative and analytical thinking skills to apply computer vision techniques to novel problems.
• Ability to interpret and analyze data with statistical techniques to identify trends and patterns.
• Ability to work collaboratively in a team environment with researchers, engineers, and other stakeholders.
• Familiarity with Git.
• Level of English: Ability to read and comprehend technical and scientific literature, documentation, and research papers related to computer vision, machine learning, and data analysis;
• Ability to present complex technical information during meetings, conferences, and to non-technical stakeholder; ability to document code, write reports, prepare research findings, and communicate with stakeholders in a clear and professional manner.

A significant plus for a candidate:
Experience with meta and self-supervised learning algorithms
Experience with generative model like GANs and diffusion models
Experience with Azure, AWS or GCP

Tools we use to work efficiently:
Jira, Slack, GitHub, GitHub Copilot, Confluence, Azure ML

The benefits of working at Haut.AI:

• Creative work on developing the core company product. This means freedom of experimenting and multiple new technologies to try.
• Competitive salary depending on skills;
• 28 days of annual leave;
• Comfortable office in Tallinn with awesome coffee and regular offline and online events
  and team outings;
• Option to work remotely with a flexible schedule;
  
• All necessary devices for development and tests are regularly provided by the company;
  
• Friendly, creative, and cohesive team. We hugely support cross-projects experience
  sharing and company-level initiatives;
• Inclusive environment - we value diversity.

More about Haut.AI:

• Haut.AI CEO interview for Forbes
  
  
• Partnership with Breezometer (acquired by Google)
  
  
• Acne managenet with Haut.AI