Senior Computer Vision Researcher to $9000

The Role

"We need an engineer to join the team to help improve the performance of computer vision modules in our product. Namely improving the detection of skin concerns and other.

We’re seeking a highly experienced Senior Computer Vision expert with 5-10 years of professional experience. While we have a strong preference for candidates with deep Python / C++ expertise, we welcome applicants with robust backend skills in other languages if they can demonstrate equivalent proficiency and experience. 

About QOVES
QOVES is a cutting-edge biomedical startup dedicated to transforming cosmetic consultations through innovative, AI-powered software. We're VC funded and are looking for only the best engineers to join our small, efficient team.

We develop tools that predict post-surgery appearances and assist in clinical decision-making, aiming to streamline and enhance the patient experience in cosmetic clinics.
 

In this role, you will:

• Integrate AI & Computer Vision: Collaborate with AI engineers to seamlessly integrate computer vision modules (e.g., GLCM, SWFT transformers, YOLO-Det) and research other CV techniques from research papers to take them to production for our software.

   

• Conduct Research: Research and integrate scientific techniques from the latest in the field to implement into production solutions for computer vision detection of human health, aesthetics and diseases.

   

• Collaborate & Lead: Engage in code reviews, drive architectural discussions, and mentor team members to uphold high standards in coding and system design.

   

• Problem-Solve: Tackle complex technical CV challenges with innovative, scalable solutions that continually enhance system performance.

   

Required Qualifications

• Experience: 5-10 years in Computer Vision and Detection related A.I.

   

• Core Skills: Proven expertise in Computer Vision libraries such as OpenCV, Sci-kit, etc. Additional experience in using and training detection A.I. models using libraries such as YOLO, Detectron, etc.

   

• API & Microservices: Demonstrated experience in designing and implementing RESTful APIs and microservices to serve your CV solutions to the rest of the team. 

   

• Technical Breadth: Familiarity with computer vision techniques (e.g., GLCM, SWFT transformers) and the integration of Large Language Models, including prompt engineering for structured data outputs. You need to be able to think creatively, which involves using non-traditional CV approaches using other A.I. models.

   

• Education: A Master's Degree in Computer Science or a related field—or equivalent practical experience.

   

Preferred Qualifications

• Startup Experience: Adaptability and resilience in fast-paced, iterative development environments.

   

• Machine Learning Pipelines: Experience with frameworks like TensorFlow, PyTorch, or similar.

   

• Cloud Proficiency: Practical knowledge of deploying and scaling services using AWS, GCP, or Azure.

   

• Testing & Automation: Proficiency in performance testing of Computer Vision solutions using data-science techniques.

   

• Security & Performance: A strong grasp of best practices for securing APIs and optimizing backend performance.

   

Our Culture & Benefits

• Impact: Play a pivotal role in solving real-world healthcare challenges with advanced technology.

   

• Innovation: Work in a dynamic, meritocratic environment where the best ideas win.

   

• Growth: Join a well-funded startup with a clear vision for success and significant opportunities for professional development.

   

• Benefits Include:
  • Competitive Salary
  • Equity Options
  • Performance and Quarterly Bonuses
  • Flexible Work Arrangements (Hybrid or Remote)

  • Professional Development Opportunities

     

Application Process
Selected candidates will be invited to submit a 30-second video introduction. These will serve as key criteria in our initial screening process, preceding the final interview.

Location & Timeline

• Remote: Strong candidates are welcome to work remotely.
• Application Deadline: 26/09/2025
• Expected Start Date: 5/10/2025