Searching for a Senior Computer Vision Engineer to join a client in Munich centre. They are using Computer Vision and Deep Learning to detect if people are unwell by noticing very slight changes in their skin colour, pulse, blood pressure etc. This is all done through commercial grade cameras.
Responsibilities:
• Develop and optimize computer vision models for real-time health monitoring.
• Work on facial analytics and build models that can detect subtle changes in facial features and color.
• Implement and fine-tune deep learning models, particularly video transformers.
• Collaborate closely with cross-functional teams to bring products from concept to market.
• Apply signal processing and deep learning knowledge to create innovative solutions.
Requirements:
• Experience:
o Proven track record in computer vision, preferably with a focus on facial analytics.
o Expertise in deep learning and video transformers is highly desired.
o Experience in a startup environment and having successfully brought products to market.
o Strong understanding of signal processing, computer vision, and deep learning theory.
o Demonstrable coding proficiency; expertise is not mandatory, but high-level competency is required.
• Skills:
o Strong knowledge in Python, NumPy, PyTorch, and Docker.
o Familiarity with Kubernetes and Snowflake is a plus.
• Attributes:
o Highly motivated, ambitious, and able to work independently.
o Ability to articulate the application of transformers in projects and the tangible outcomes achieved.
o Strong theoretical background in machine learning and computer vision; academic publications are a plus.
o Familiarity with Photoplethysmography (PPG) is a bonus.
For this position we are only considering candidates already based in Europe and eligable to work in Germany.
Must be available to be onsite in Munich 3 days per week.
