Computer Vision Research Engineer

Overview

#Machine Learning #ai #computervision #healthcare

Are you passionate about the intersection of cutting-edge research and healthcare? Do you want to contribute to the development of state-of-the-art solutions that will transform patient care in hospitals? Join our startup and play a key role in our 3D Nutrition Tracker project, leveraging the latest advances in computer vision and deep learning. This project is at the forefront of healthcare innovation, addressing clinical malnutrition and improving patient outcomes across Europe.

For more details about our project and mission, visit our website atalpinasana.ch .

Key Responsibilities

• Improve the accuracy of our food instance segmentation models to ensure reliable results across diverse hospital settings.
• Automate and Accelerate Onboarding: Streamline the nutrition estimation pipeline to make hospital onboarding faster and more scalable.
• Push the Boundaries of 3D Vision & Generative AI: Research novel approaches in 3D computer vision and generative AI, including synthesizing realistic 3D food images, to improve volume estimation of complex and overlapping food items.

Requirements

• Education: PhD or master’s degree in computer vision, computer science, or a related field, with a focus on deep learning and 3D data.
• Research Expertise: Strong background in computer vision and deep learning, with publications or projects in areas such as instance segmentation, 3D reconstruction, or generative models.
• Programming Skills: Proficiency in Python and deep learning frameworks such as PyTorch, along with solid software engineering practices.
• 3D Data Experience: Extensive hands-on experience with 3D data (e.g., depth images, point clouds), with expertise in 3D reconstruction, geometry processing, and related technologies.
• ML Ops & Deployment: Practical experience with ML operations, including experiment tracking, reproducibility, deployment pipelines, and monitoring in production.
• Data Handling: Familiarity with large-scale datasets, active learning strategies, and annotation workflows.
• Problem-Solving Mindset: Ability to bridge cutting-edge research with robust, production-ready implementations in a fast-paced startup environment.

Nice to Have

• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
• Experience with advanced generative AI techniques (e.g., diffusion models, NeRFs) for 3D image synthesis.
• Interest in healthcare and nutrition tracking.

Why Join Us?

• Competitive Compensation: We offer a competitive salary and stock options to reward your expertise and contributions.
• Flexible Working Arrangements: We provide flexibility in both your schedule and work location, allowing you to tailor your hours to fit your personal and professional needs.
• Be Part of a Startup: Join an innovative startup and play a leading role in a project at the cutting edge of healthcare technology. This is just the beginning, with significant opportunities for growth and impact.

To apply or for more information, please send your CV to Raban Iten at . We look forward to welcoming you to our team and working together on groundbreaking solutions for healthcare.

Best regards,

Raban Iten and the ALPINA+SANA Team

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