Thank you for your interest in working with us at Eyeware!
At Eyeware, we are committed to creating the next-gen human perception technology to improve the way we interact with our devices and with other people. Using computer vision and machine learning, we develop head and eye tracking technology that is used in a wide range of applications. One example is Beam, an iOS app that transforms an iPhone or iPad into an eye tracking device for PC gaming and streaming.
Data is at the heart of our research and development efforts. Therefore, we are looking for a data scientist who is experienced, passionate and understands deeply the importance of creating, annotating and overall managing large amounts of image and video data. The goal is to generate high quality datasets to improve and benchmark our technology. Experience with computer vision and machine learning is highly desirable as it can improve your decisions for Eyeware’s technology and allow you to contribute to the team effort more broadly.
In your role, you will design, manage and execute multiple projects with the aims of increasing and augmenting our datasets. Your methodology needs to follow scientific rigor, i.e. explicitly identifying hypotheses that motivate experimental designs, while also being highly pragmatic so you make the best use of engineering practices.
You will be part of a motivated and creative team of engineers and scientists. As being part of a startup, you need to look forward to a dynamic environment, with every-day new challenges, cooperation and a can-do mindset. Moreover, interaction with multiple stakeholders (customers, sourcing companies, etc.) will be part of your responsibilities.
Finally, as we work with sensitive data of people (images of faces), you need to align with our commitment to data privacy, security and ethical practices.
Design and execute data collection projects
Manage and implement strategies for data annotation covering from manual expert annotation, bootstrapping, active learning, UI tools creation and AI methods
Collaborate and manage interactions with data sourcing companies
Implement scripts and data processing pipelines
Supervise team members working with you on the mentioned activities
Ensure compliance and good data privacy, security and ethical practices
To be willing to learn, pragmatic, actionable, motivated and with a strong team spirit
PhD or MSc degree in Computer Science, Computer Engineering, or Electrical Engineering
5 years of experience at either academia or industry
Experience in machine learning
Experience in computer vision w/ perspective geometry, 3d modeling and sensing
Experience in experimental design
Python 3, Git, numpy, opencv, scipy, pandas
Knowledge of GDPR and ethical AI
Strong communication skills in English
Experience in training deep learning models (pytorch, keras/tensorflow)
Knowledge in style transfer methods
Azure pipelines, Azure ML or equivalent
Babyfoot and gaming skills
What we offer:
Learn and grow with some of the best experts in the industry
Develop technically advanced technologies
Work in a high-potential startup, with excellent opportunity for career growth
Join a young, friendly, culturally diverse team where people value social involvement, mutual respect, openness, and personal growth
… in a beautiful location inside the Swiss Alps 🙂
Partial remote work is possible
Equity: 0.0% – 0.5%